{"id":76,"date":"2026-10-17T10:53:56","date_gmt":"2026-10-17T10:53:56","guid":{"rendered":"https:\/\/therisk.global\/quantum\/?page_id=76"},"modified":"2026-10-17T10:53:56","modified_gmt":"2026-10-17T10:53:56","slug":"quantum-computing","status":"publish","type":"page","link":"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/","title":{"rendered":"Quantum computing"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/ \u00b7 source authored \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\">tX1\/d9u2kuhXcXHurokQoiUn9baUYR3bSW6y13ayttOmV9XLoUlIYkWRCgnKUmXtZ39nBiAJSpTs9ryXP2IRAIHBYDC\/AVrDPPZlmMQWXYVD6zGMg+TR+fYtXrwPR3SVCpmn8bpodDC1ZFF4cCfTMB5ZknM+T8LgoP30BL\/jPIp6hLiSOqmYRZ4vrKP\/PBox8p\/edNYlRmn\/dIDlkawVn2HhqF5IsPB7nkBxBc97SzKPruZeehDzm3z6IFJL0m44tH4Is\/dhHEphxbQAmfyeH7c7r8ka2gvulZD3jl2vK9NlMbXYkclV4nuR0JMkIm59uSNsNQ3jcJpP36ceAvA2HIUycwWbeoum8jVd+570x1ZKzb7fhwsRWIKuq5kICagFwDx+7cmx4z1keireGe+In8sO3lvyqCN+Zljcaffabofa5IKsi6YnG01PVNP\/0i2vq5ZvNlq+Zm1qk0nZoN02G7A2LStq5Z2yvFZ8rIo552Vz0iZro8VrYyn\/VEsZDi25nIlkeAAvkqKalD17liz7JWEsSROIUOcn05nnG\/WI4rI6nVU1EpDxuqc6cPWa4yqkSR4HlqT4nglYjMRWH9yj69pQ5dx+hUoWM6FWOOWWaMX0yPJa8umpQ7tQmPNyK0YVsdhW1JL0Vbru5k4Yz5vaSGgT0yNsE\/C+ZN6gmzsp78dMwC\/JSRTGpKvb5xVcUm4ChpOOkpElKcurJ4+yqAA6b6Ul0EEFUGgCXb6IP6bewgpZR7Q6x5S2UvoqWneD+nSqt\/ENsZhZqW2FMGBEoXUxsaCcWIATS0blxIJqYl7zxACQDpNOJOKRHMMMrbjl0aOURVxU3MA5dkXD9KAk4dIJ40AsPg2tkBYje3b+KrHzV9HRMcD68MjzV1anFdFu4GRSzHjeDZyJWGZcNgD7i4JVDSC415LIwCxx1i5ZV18O1moi4siYSvz09GO5ULPk0eq0Gf4eRkmSVsuQUvXW1U2nTWEt06Ncz9CKzviPvU7bjc74ce9H+NPpHbsd+ioHMKLTjvMjXQU8x\/FD3h+wRI3nizCy5FHQ6ojWz\/RV0B0mqQWNJjzpTk65ZwevOqJ10p3YPKCr0Jnl2djcVpOjgL4K7Ha5bcIKKSnyQ8SDNPBw0FkrHvmL1WaSvVFkGHOv7+lVbXUGBY7jU9mLbcvrdwYtr98eUNcQZQ+GKDO3+qtOmx512lXDx\/rykFNiy3Kq6UEYHyi29enhD+FLZ5YmMgFO4Yy97NNj\/DlNZiKVS8f3osjyWEpVTzn3+ukAUJz\/UFAe9gOPIETLh6EXZYKuhM3JAbFT+5CTQ3tq5dQ+JIdr+FfMtyJhYZOjM+IKm5wRO7bJ6e9HxJbwVE3sH5t7ZEX8yMsy4pJ40RpOWtl8RNg8FI8XycIl7YP2AfZxQGyPPYaBHLuSjUU4GkvXY2kSCZeE0xFhw8TPM+8BnhF2wmapyEQ6F+fZTPjy1pNh4pLFdRj8dh0GB1MhJFmXOM0Bp+LpabV+OV4Fy4FG+vmAi34+KFHyaBGcRcpigx\/\/01QbCClHFrzdFacFf+gK26ar2OaW6JEr4pJrQu0HS\/bFAIjJJowUj51BScNeL7bJv4lJarkh243RYt7uxtVoMYwGBB\/TlWdzcq16j+uDxWowEWUCW101t2p1sJ29q171UsJcwfqvgihYynIFdMQJYQELEfCAt7vBaVwAHSDQ\/MHyrLgfDCgqLKAGkgdCV5HNHy0QPoKwFQk86bWmxCWjNAwIW3TckC2O3ZAtO27qSLY8dlPnYU276jUpFrL2mgz9CWELeAEa2p03DBu1vNgfJylxyTQMgkiQNZtafyI8TFCqkfUcLKkTATSpkwI8IUATPg8LTjUivdSJWifwsn3Clm5ov3Z+3ACuaElEHBCXZNJL5Rak6xdgz1uEWQPEqfNQYhC6yZUuVe9sax6R9yAimAj2gmh93d5EK0AMkOZ1XO7uzMBK2bFsddq7UKKQUR\/I2MGjjfmLjKxZZOznQBrMXDoS6Vw6Qb89KH92BgX1O6m5F5wUt0LZ17+rvVpYOE9PhFAnm0WhtAgjSinXO+D0x0rvyaNIQ22BuMHZJSPSk9L9lVraPAFpRFn5cGw+vDYf3gyoAda5wUOk8\/j09ONJm8VcOuOnp+OTNhNcOtOnp37nJ9Y5Ya\/fsDdvBl3N1iNX9F8PWOp6LdHvDJh0Rb89YA9u3BL948Fa65+WdBaO3IAaygCPTP3oDBiQXeqkSvJG8Nay4a1l8dayeOuBpY4s1EZCWMiSrtIWcNzQn2RPT780DHhCWcZxlKrNZvdaERhy6Tx4cZA9PfUHyK9C3u6Gp8OCX4XAr6Clz4f9cMDmPKp01LJb31mCmrQsK8PYKofynWWHquEW3HcW7UrqAr3nFpRRdg11HbMuVXUdpJ\/52ZKuAtxHqfDr+whmQJh6nujnFrF9Z6ILfeL6jq8fhpPWRCyhZCKWbOE+WAvKlu6DtaRaSj9UU2yz69aC0kJsP1jz1pIqhuE7uH+Rbcxby7PO6wLArY0OAOnNbkAZaRgRBPsnDYTdeU1hTxfd0\/UaVbhPXDrzprX6tLVWVzy3PvXDAeL1c\/nQod0dCJxvYnD+0CI2vmWgEJ99BPeKKh7VhLDPrSsTYanz0AJCXuMyYh8ab88jC4eyT\/RgducYEGN0QdfrwOb\/ssgDYTmb4BYYshT\/qhb2vywSERaxDGlfVS51JdLkjEsnE2koEK9szGvInW0hd8RnsBHuinYJb3eT05Ezk1nRNinaXnIs7yegTbCL6qmDiuzlGS92L1LR5SkvNjFd3Sn1v59bl5Q1bbrtnXZBKQUtBajzruC3x3TlJ7EM41xA+cjxUqF1ue\/8zsmi0BcW7X7Xw9317yrDAIZJnYeBWd02StUKzjw5rkucVHgmNXktYo9MSho5Pgvcf1rfmUxzAftpR09KmFc9RU09qYfAy8bwDH97BPolLkgYXf0IdY9PT0ZRwQhGyAgCd4S2Zy+X1h11\/2ndAckCmm6eW+obhRxjrW3iAqDlatP1WLWZWiNFfE9PI2dCbfJEbGvk+E9PJIwnpCxASAiYFlFVOKy4IwGwh6rmxvkjCWOLdAmlyCrOQbZ56USkm7zifIucb\/mDlVvnyCBosaJ1BUJ1ZS7DtEXs8w3ugM8wD8\/3CZOpF2fDJJ26BH9GnhQWsW9twtqUrFmlqC06bhvUsrZWa1tvSrXMVnAhvnpNrGJa8onbs9RJW\/\/V7rVO3BPNLo431KeyzZZKeW6wFJcUaPwG2sIsCWO5icZvW2j8iGj8ptHI7vmDFanHZYlVP0z9qK6bBok08TprEfvbBl6\/1fBap1zVViyZv3A\/Mn\/p3rNUFaZPT28Ux\/1mcFyA9C3\/iHjodNrdHRwYLMQkr0MWVaAt3Le9j62f3I\/2T2zp3p8iaz7p3dudn9z71k8bWH+7je5vNQ4OWrfjp0mWVbZ7ExliE8LGYRCI2CXq715SKglpp+Abh1Ip89GGPAMMpU7UKMc2beWXuAE8dAPEun+v6DY23QDES0OvpUjalY4MZSQ0w9r2EEjvAf1qrsYd17jrQXuXtF\/kQ6jIyR+jRSGd2JuKp6ca4x1OWouMuIG0cloVLVVRZBQthsTVPl+UxKDkZmgTkB4WbNVqr3CvsBygnLp1Hq2EM3HHms39L6FrFhiq\/nVN1U\/SUMTyB87JnKDCnyaPSrQLZQi8OW5rRR\/rPjw9HR+znEtn5M0qBvuTiwVaaUezwfJ6lnSmPelMgcXDn+OBe\/wTtQvz\/pWV2jl1j4\/bhd6ORobl9fon7McTdnzMOsftgdvvnLBOm71uszftgWoagtkRKLNDtAJldgTK7IhaQWl2JJWL9QsqDV+cTIwyNf8\/eLv0lvzG293fTlVtwa5+A3b1h81Vaf+3gTMviPmP4scXZ74u7YxpaPjI2i4WoHEx9RZsyHxgMBmv3HGZBmAIfyuvxxDGzSqfcsYSK+4PwWDLeCqtTDHcOXh7wFZUs1nyX60Jy1joRCwEAwo5BZjzFaOYF+rfksnK3oG33lAmnSELmXrlCtnNehdwyjoBmNg1Dx1pD9Vask98WeleEwZmzhWAedXMOtNSIoVO1PoJVfprOz06tt\/QXW6CQlfFCS6M5fyssenzdtc\/XdSW0i+gnnFV0fdBeV1anykbwR975sypBrPBYqrJc9D2F87EJi1iz0zhM9uymmal1TRWBst1o9U0ao1b1gbMrU6v47ZpZRyka9r9bPOZM18rPwnM565EeBhbC2fO2vS03Vs4c3djGS6ruN8SGtLWp78432qeC5Sw2RtlcpTD37FPdN8sL2tzUZJs7kW5QGozyHQHtcy3jMK5hgzAWFqJtaBU2T8VGSmSmd+LRRVK7v2JbYHiqasrKV1f7ZV6bdVtKz86LmYnyunYOWi\/DWI4TR431ZAF0kRZJsMZlMlwVlO3YXqpmt6aXVFjyS8KBbtpZ14oxRm2pjNRfOI796R1UfAFJp2ZF5jRKODdMy+g7KbkIA8sdOQeDhIRdvMyDjJ\/xssYKi9jqLyMD9aNha6R4+Lnmnb3MaFzxYRu+Xfr3JlQ9k3zxHODL3ys8YXzZr5wz89LvvCW31gf7XtnTtkH+Em73168T841X7g398v9Fl+4L\/nCrSbXYhO9ZR9otXu+Ow+PhlZlOlqK3fyh9ZYC8zhvZB5r2v1o8\/saz3jHb6qezpFnUPa1LAzjovCvzdswbmr8Qc\/w3Utm9bX1DmBef9vvF3+wbm3oBLbi0g2f89afmyKjxnPo6ttf4TXnmteYowOhGjNIrHNKaetHuheeBn50rvnRecmPvu3lRw\/Wbcv6jqZvCxFaIEMaeIZaA9Oh89AKlXepiVn5SbTJrM4NZgVY8BUW1uxb5UP\/hyVYxOZstUcl36k6P3hpRtaGfnpX009BHUW91E+iDHXS6PHpqdNpM1BIZTID\/zTqo\/7j09PJGwbapz9+enrdZgE\/1soiarLCUDxzO6As4antlUWRHVDbwoHuAfDeG1frpRPwJ2dsuJMTTZ6jVgEKEoxp52qV0tbPe+gDuXdh8cGgoChmpwWs3axyM6d2pkDvTp5TsYRWsHw72qtgef2sHH0v850DqkUUWRkbUgiosiUvZ8oWfA60o9ZfQ1cntzG8vCUdNyTjvFEyjlvERjgVt1XirmBAOQR\/nExEnPOikVs0Mp1daA1v7S8TKh8AQGbWUSu5VFveL5hZXmyuiKUL9xi8MHNH1jY3IW4jh\/HKUcCX5c6dMJ7oieJIBa3sXjGDZNSgtIzywcZBMt5JnSVdgGKjfMXGW7Ta3CFL2OTvbe6x8GRtc9\/UNjdwJ7W7IeJ0rMJMEHF6o7Y3RJzACATDr4w45WD6pcr0i1upMv1SZfqJVlqafhEHDtCGQFDdSe1tuaMm3OuH6GOeOJMwDjCq6WUCApt84sy7ifbntlmko+MHtcYykV5E6Gq7Hfaf8cg2WgfJY0x6rVKCT5w5dWtPtByxFMkRyygr5Qw8DWg34tk6qAzFgCX9UDlQAzAUg1cdp\/1TEbvag4ShGs1Dj5XSGn3QGocsdyKWOylzXp9QNue\/Wm0WsNx5YLkjIYSllME5+wUrtA6Y13TAvahfcL8Yll3zuVVMgH0qHgqT\/woXCTajfkFjM5+RHonFiLi1YoVkMkvA0xTGk2NCu8sXqTOPyFvqbsUrM\/JlWDf+Dk2mwz61rqmO4lTzbnUKU7UB1k\/uNZrzZo2mws\/8er1ZVdAc1C2btWw\/iePazPxqaosOxtHUBBbH+kHpC6iJf9Zq+GfQx5TpvI13uxnrv+fHx51j4hKicf4C\/epxbgBXwlawwOvWyT72N7P\/tMod1ICmXqTgnCslixa0MExSEY5ilQQEPlEYuGUpRLT8Sq3KnQf7xFj2mmL1+s2aHZ4G4fxgMY3ijJOxlDP36Ojx8dF5fO0k6eio8\/PPPx8txnIakQP0f3Lt\/nxUiDiDnCuv8vRiTlUQzs+IwYkhb2b59zjxoydFOvSiqMaOv2+G\/d8cl2H\/120j7H+CYf+TvxH2\/3VPjJ9FWL0rmM9UIL9bZEZ+z72tcG7SwMxzZBwYzs3Khw5lQx6ph2WHMr98aO\/0d8OAhiaQVBHdiaLKYcUJstbEYAR+a6g3f\/KXQ7j4hrfALGLSy1on7qRwaqiqpcq66fmt\/3KHEADf2Bj1DrbiCcmuiPAziRI\/0n0R42czKJoiyqipBKE3KnCzxcKgkihmlZcwUc2ionIgqnlYbmZUaLgLGGjhWIj2N1ornVvRlzTDl6Gp+UK0MhzsDlbNahGhrEXsuSlR5qWNXNd\/54bBlcTwnMS1AK2\/wHnOMXLmL3E+c4ibsdSd60hWxTIg2S74eywj8z0pRVpjGN+kmdtoeZhGCYzj5xMmymdMGmIp\/xgP4ZDEkuW8Vf6OcPdGvN2NquzECDBbpFGHsZUy2Y8GtJtXyk2uijD5jHOe0lXOU1sl7AaomDQkYbc6lB2zuPWGspD\/aqUsZ6L1mr2mlVLYBEmhfQUQsAktHHigpOCknKWfp5WSXw3oelDTVXpfUmYMZGWXJmxiYNa0VcFzAbOZl062QmYxhsyEDovpcJ+rCOelKbNxEgsVItxKLcg2sxQyj2BSQlYkJdiNr22mJGSRei3RbzRsnGwjzJsFRBF9YE0Kkoc12XSGqf1c4JZNILsDNsWx82Zt5rplsp5ybcUlFXfaYHg0ddxhkj67MiFqkhsLI2xycEL+H63LloiSqaecDGDFtTf90idglHYUpp9Te8MHQ9R5pf\/O7PfBEq9Sutm5gdqrmj4RiEh6GmeHp9nMi+uqz2QWtubkQEHAyaT4LWOu8INKkfbXKY0IOjkj4KbJ41D2dvWaF69CK\/NNSFewLW\/ni4EGIQhTlQbvOUGYPj2RYeRJAinxqn6UJAE0sDwHfxbhZL2MblkM8yjYN4k97ELpespg34INrGJPikYIZ2EUaQCwkQJRv4E9n4YHBp0VaDz9\/Sg8M5qCfxGzTjdGrxbysraQfhLl01hZ6lmSSi054LSCHAsvODuV6RlkwefIUVPe7qaVrZcWUjPCMwks4BH2UiGNuIcKbCwGtMa9WKW4RiAOe3G\/Mzhr94iX+SIOIELukkAYD7hD9B88uKAdf5FOh5la+hd1mxCbpWpRIieDxb4VkSfDuTjIwj9FDUtdYfPDUzk+yPxkJjh6TNWC+EmklgMhRhhsK3LifNo7VC3ifKoX5BCXOsDTE9YGMkL38PQhlxLOTy1hCPWgRwFYNY6Mkc4O7RCBVG3PNMhyfEbWcK4DfqdnWKJW6yEJlmfEWCzlaN1asUR7YOEoCXYkU2JbCa7J4YGhtyiAkgKggyLfgpM2OYCkDY6RML3KIhK+FAHXu+UQukziniYCP09TEUsTV2prJM6wHLUYcIiYLuqxk8IJWEM2wFbUTUpoq5eJRkfO2928ot3cdBHlAwYSHfyDWX8Ccx2wIc\/0gZqeztaAAD9JlEHZy9yVdLM1\/E+IMol8bg2d7LF3eBpuEOFjQUoKPmiFyNy5o9XMhk7qxZPylE8j54AWisRV622+M3EevLSXSWsIP8w0BixgQ8en7tABFvQXeJN64SWsaejUmSGW1Jyo0AKnm009OAR8in\/PiEIV\/NYdqGKYlibagMD89mxFPXtdC\/Ov1Q6dbG7gV89yXi7T3CDCoeM3NPar1r7ZHDiArzZrUNus1W+9VwsxKkFdqKMeiyoGgY+FaABdXjMjqXmh3mb4UDTTxpwJllBgQWfmsa5bQzIcngZRHZQAPBl7jyApnQvOCHXhgBF4Tc5OA4nLKNTJCfB8yLPTAJYNXAkGq0lyzfug3MA6uCLKhanID4rrs4KyTjFIcFY4WcqjSqoiMmf8Sds8uxWZHXL5JWTvmURfjXlRx3I4rw+Ih49TUbBWTQDby+qphbXJgTfywjiTcMTOeaiW+wz7rhj0mZodTmWsgdXVSgkAASLSQr2CJ6VIHBaTaOqgEpAe2dyAjb2fhjVOCBPx97NCc7ovhubhb0Lz8CJoHl4OzTMAqP6CcDi8UsnQ5G04HIpUxH5NPSmoeWsDmsLd3IVKuKuteNhMCmWBCYzaqE3z2p6JKPfGhBPfO7TjUouuK\/pqY\/6dTh\/2dXr8lzo9BF7ypuQlQcFH3jTwkdeDBtxvcBIsKrf1u0b3CXpjDPeJTEajSLCUH57mG\/w1EiNw552hinx4GoVN1S2p5h4r8KJQC8PyBCzqOHJLx4m4BB0n4IfPMK1Clwbl1U9yzB8t5V0Df8Q2pM7EsczdVGOnRY+bCorW5w9rOzFS+xAV7WzszURP\/4V81uw7KSUClBWv4EOxmNh1CnIIsGRbYHc1at91S1EsCajclVxSS6aJpTIT5xuKusIq2PiZUPZj5CTxlvWo8K1REtQ0+0bzpYDHipzh5F\/NurmuqlNxYGC5IpaChFMsyUEYYoqU5CuUNO6lZEHk3koGgs\/9JJmWR+6FZIoE3XeSicx3p2wIl5G475m+L8MVkg2n0v2TRWHs\/sqiZJS5UjLwgbueZOhCdn9hceiLa2\/hppKJyH1k2Xzk\/oOBf8n9J4Pgy2f4mUsGcUb3X9CbcM+hnzRzr+HguCfdO8nKuId7I5n2aLrfJUMnmvtNMvDZuJlkk1l4kQRL9wqbReJ9mkzdfyuV\/b95nywII0vCCHpCCCPKCUIY8aHGhypwpyw68N8xNIZfS\/gFMYTyhAdRAZSh5Eet3u\/Bq9+d3u+BbfVc0W\/ZA\/hNe0ejsFvyDF9uHxmlzhTvfRnK6pKInudMvZk+B0rd\/qBiO5\/NA6ydVnWdQ6t+ScrHGntqdzeu4qkuzBlKVuZVl+f7vX5s20WM3hLFiVaH0H5noA65lhfuCOfVUcigqDA5a0MZNyakr7ZunwB\/XM5eU6qvnWiuM93Wb186MVyT\/u8BG6iFeXU02jlTtmuWekqKpb4Hp3O5SqK83gNO+p62e1E1NINLiAh1IxPyZM\/qNwC7RQ4l8HFJAPoIcLw1Ml3XyWZcOkrh3oCSgvT9Rug1ZSlfrVkO\/0UsKLOtRkLeJom8SQLRqz1Z+rhCwsNe6MBtRnPxLhJTEUtVMUFbGgNn6oS5A8fxQHe1EkpXE55Ad+dSpuFDDoektP+SPj011mjuSNWp0AyjiCJd3qELIknPo8gifdXHQItIFRDIagEBlUGR9aPBjuGZz1dr4wqD\/65dYaBiRtuv\/zdcaoDndctbOfw+FA74fL1O+8MBV4cG4M2xl20OLGNC6SqHdtgEXIqXSSxFLNdruEomFumH++sr7mFyS3FQYAMJ1mG\/8otM7EMyOKRPTzsaVTJFt4Sel7hWSwf92XQFd13pB2s1S8VcxPLOT5MockGylddWfaSrtTp\/KZxUBLkvajS24MIJzCDLm+O2i0V4g82i1vgaro759PL1\/bS1vlf8Uz8asM\/8atcaz3ja\/4x5QjO62rfWYw6LyEabXY0pu+Oz\/hj7GJk3sdzVb2mBx1FxKtaHI5bsAv6OEN2XekDO+UVx29DKKKeraxVTWonIvWKedMfs3L1kF0zOIne0pt0rJ6vBxe4oXvWC0bX+54EBjUohvzJpi93wRGI7ys7h53cE66YC69wE68Z80L1\/34ARekfiYOfuDbtwzxHU7wiqMTKH1xHQIglLOCKWIjUOD9SnplYP26AYBsUKp\/nDdQmWQUa3kOtYRjuBQqHpLV3d8o9KC+JGTMj62LqlRwvK3vLP0rqvVOwPvN39cFqM0P1QEMY7ft3\/MGBfi+AjlH3h7e6X03dOedr0C7T+qrDzzjnvfxnY1jvnov9l0FKP9NVbjIO+UzGE1TtHRDUs3cMtS+8cQOFbaeEP9lUnpGHjGoreOZ5kxisfq1cUqu5P8eq177nI5HkcTiEqFb9PvamwVBrwjpoSkR82Qm6w5pKJ6YMI4G4f3PpuzNB54q7WLBOREgfjRMsFPLUHVX42VyWzeKR+ZPPRp1w3G0MqhUih5bo8tlbnY8TRXrNwBg5C0L9LIQmJrCsL7gBS3fSzAa89QfYJVSszpOuucMQ0lBvvKyfv1mvles95uzs\/9Us1AVYbOKbfnw+gV8Ubl8AboRgM\/2wGZe+Aj1qxeDy4zDOZTNUziRfucNIidsZWgZBeGLlD9pA\/PEQiUzsKVO8kE4FmvrURusL5bsBvXHNSx1qGs\/3uvaAt8FzVPBN13DCfroQKQQFmh90il2Lr\/UrYQB\/k0M60sCmQuOTt7vJ0XiBxiRusvxxsbH7T3iJMK1DYroHFzwmlnBdq1pCWcTtlllEtlPaDG4WBSJsgvubt7vXpooD4GiGW1qJ\/PWBDWl5asafvx7GI\/4\/u2q31fcXb3atKpF1B35\/6VwNHG\/D4u1k7gk4J\/YHzDJOkh8gacZ2AtC3ij714BAF68CS7GcNgrDtcU6Sdkdik\/lLRLZe5FN9DtyqFl8EPsEkeL6AI7QN+MUWYjHEIcspvJJXKfUuYr\/XFly+2YUHAeP84YugVLRSkotSRIoMDnEp92EUWQBNNhIy4V+ljQ5DXXVCbYgBhBxqNiFR1sniXWgd5CwZi3Qy1rHkpHsfSmrMhW5XsOshT1\/KVzyrIU4ZCtizBpzXtTizaHUlrTouMQLAVitxs\/oO+E\/YjtM4ETuLTA6ZApCxRxoBwELQ6neXIQdbqMla6Aq7Y1IdVfwt0aSdLpqIqLyd4MHfCrOojHq0pXD4GPKA7BCYM6bTClxbV5oli9Em3BDMVw1RkY8vHW37UHWhrtkqTRF576SiMXfK63Z4tDtqzBVlTJ1FAwmWe5ct8C2CYXsL7SS\/ptwe9rNcfgE3ke9KCApYpk0r9l7FhcT+hzuLOek1U0M8Gbubqu+\/g6kgrp3sFlNpheR+E1IAt+PNkBC2rDfDDsn6xCmjv5bPaB4bRv3D8CM6l\/wrOFvX+tdG+IHtrwZbWNVtQ3A7d6obhWwGR+4IGFHXUyyzjZuLCMjTGhL7KfOKsFVG4GEbjNeK4MwK68r3YF9GG3hNg8n2jSmSMCZZDRTCou6xgP7X1LkKRswYnRo1MSo1qYsC9y+JRptqA0NrRpWzrHI\/PMzgas8d6ZnPuF54Ol9B+W7l5lhxkfNTzOVe\/nCCcohhRT2Gg5tEtrLlxInXjcSKNxvBUa3yttPkuKvhZcW2UOYzaGku6usYdqkyXJV3hVBo4exJX6j\/qwdgwFdNkLhraon692N3dGHPUXtgfNMYOr3d3GITTl3cIjbHDhoWDYAahmPybPJLGAWtZGIQttxSddYV32QQs6mURYc2LruGXO4DXL8ORZsebzaLltZdOMj5BhRFg2iHNFK2VQ3LOs+ImjHJkU31T5KSJClvwYXGDODLLufqzCsKpm7EwcMtX1yi1ChVIQUVY1dAEJQy0GZLkqS9cyOrNQ0ia7QJdz3cK5zosjUCoPWapfbNjzxBca2vem5d1c12uPTOabeEbfF6bGcJnTgy62TchGc62pgP7sLyAvFAf00L1RPFpSKTi1gpfhb3wRDk5zWSaxCOMqxUVKjShy9UNchCt1C9AiH5D9fNrYc6lccJIhTmXg+5cZxwQ21oYiQU6nLSo5RQQnZagW+4LiWF7eL+evoDTWTSmG8xVcgcmGuDU4kQWuJhpNGARvjmDmIzhzZt3S\/SaLLMmwdgnnjrJcJgJ\/XxVPn\/A0EVXHUTK7M4b+9PZdeukl7U+tTpvXChhMz60O2\/Q1WVfnRU9qzdbJ3Q148PWVatzvE6dTC4j4ZQBDl67wsoQ6mVa7Qn7TKlNZgu2q36m6inRNHfebGOja\/kCXg7j0SVCeKsUNHzLyjTYX1ugzAwlKwp+a\/lwdpgNC6J+n6R\/bQQ259kzo89xTD20PXcwcnR0zOYwtALAnjsqjnR0rGEZh4G4NzcZ7q90Y0Oh6l\/xTquKL1Qawlw2fb1gQ1hUZsU0BF8yEy9o6S2IvqEy5eIs7jXnS5c3klK81x1ud6fUbUPUJH0Fd\/+XXyo4pjb5D9KVO02eGC7R0HzRo7S8ZWiP4iPH+fQBVJ9gf7thGEUDIzauTn1EtRMfERyYqcGGJdIb3XhTgR9zeBTppZcJC+WuzmnvQWjQhcBhrk6UqIxKuBQvqF2IF\/STTQkNEcRcG6G\/yMKQ+1V4k2u8dqn6ckEPdFtdgXy7cl+Oakm820jAYG6\/ljZmokIlj3gNeSNePx6wlAvHj5IMDFrtUyNwWbzYoUiqJKVi8dJe6nz7NpzcJaly3eFt8EjsUT8f0FUs4VaBfo73J+JfNKfUaY\/ibf1HexXIMIxAdyZ2PqhsItTV6971oPK8wygB+r5LtMUbzkrpyIskCEUGai+It3qUIuXnaeotjRvE8ciHvjhcySy8oKBhAcb9IhkJSDXirQ4LjCBSXr8HG5znQaOeDmnIQHoeHFjGRpDM8hFCjV18bNL\/klQSFu9Jq9Z63P4OdM41qozRafkpDpALSSorkydkSZFJG+oU2sjMp410XJxPepOmKWZzTANmYNFmexpon6JmPkM4o6x\/+8WtumF2491Yc9orVS0nws+xXKo0BkuX+5S6qu2S9lodd95aFnx28SrWN9OolUprK4W8WcTB5TiMAiuFIJ9BX2GNMZvU1TMfkHJcvIituqZMZWvHW4naOV7eb8X9tNmOg\/goKjUHRG9A\/MwInAftgUBx8yowXdy\/R8+AAUCPWvL8UGxSYfNOsRVlAxPQIeA9TEDZz4ohBs86+xATmHBT8\/hNeLs7qU6ATvDkVn9S9\/gVFgI1t\/hDjTOOdhg4eJEeIo7FELCBve9V93EX3\/kpDOP\/NXinWifRsE4CEKrfeMJN3x8U38rI+28GtdvAu1uSKdg6i5jwAOVTaZ2jd6oKxR3TVaRPmOmNAG6j8ibwBPgq0Gesw3GY2uXm6MJyczgbCek2bt4\/xivHM8KGbt5\/jQ+kp7iq3ia6S6iltAd\/XLOIzWSG2Q0lBssF+bKxJ2ZSeR\/jjRjdwY13gyfhT3ms7tat1gOeO4N19bWFTldUW0VoFopvqk8sqPwCPMldfv7nVFf24r5QXzlwY\/UJBs3sLa+lq9oDemTp5lUZfrymBEn3YVu6k1ZZBF\/dKRHRj41bhDtGCsZs60sz\/4YjR40Eu8hAgcv3tFhCi27dXtPcoNmdN+X6HlHtxYuAlrasen2ojXY34opG0hOrGQUPVgrfzVK321LNSHYBrY6lKqaCwPSDgT4S\/iDh00ETiPxnO99fDElxA0bUixqksFbXIPel3GzqrrBh7ZqwYd8fOCAfYkxl0XhQPB7qKiVPOVCTBgfqF3Dazgcs3viK2JIa7s2J3q7QUmVasj+tJcPHIVV\/\/QGtNKa8sHSDxM8hl8bxU+HJIrPm5s5quJHguN1uH+ExxhID3cXGAmJuW7upYlkq5NWhaziku3HZdq5OVy8p\/tvqBkLyr53jhgH0QUQ9WSAtU6QuimveryGPyIrZhLordBu4f1oxy3o1fpRR2svc8sHVmiBDsTJBv7EARxcYbXiHAd5ncE3XsoiBqbt0V0iKbsAWbmzmaL2vMa8XbqWYruKNOet9xMoNtZaFPWjRbjMwz+2ahbroyID2fwrtFoLLOpXrAM4GgDM7GR5cRMlDL3bBrICfFuj6K9BrXW9dWH3NdGYRDy2AL7dXukIFGL7cXlmCgs8iFUOed1MHrgmJEi+AD1Y5KZxXiJNkJmKRkm7hUICod+QtuVIwu+WQcB6mrl9B134U+uDZyoS8D6ciyaXpbQeIUjFPJgZEOS5DauxoMLJ37O+UrtfsTbtdsna0wlUcvfpWmnLaG98zrH84pJaPVykS24l6alX0\/oqNLyDGxhcQ4wKWoz5hv8cDHVsUtAcZ0aL+ccNDQg6Va0usqb4ZmBFa\/v49BuXw99jIVZ8YOlJ\/oL7ZAz\/AlJEfhBf09F\/lXWsrmyMruKiyHvOa9Zgqxpb345qO5sg0nFqUrj1Vn1YW\/jO6sTFStGWnBkWSjfruUgSjIog1lUCfEy0r+\/jtN4QjbDS1wM54egr3TSCgDZ8+iupHaqMkFpgRicfn8Wjttmh6RcAj4zXX6L2IZi\/cpAO+0okof7SKTGX9CDf9e2CpEkaSmeeHEn7Bu63qUbc16pNYtobeNIzKJzwUq38\/FlnQkYDMaribwAfTkZGZF8aylaRwZmSwcfQgbjh6MBISzK9ciuAO9r8VgxsAr4DZUIHTmgoc2Dzth+oTAhEsWPHlrl\/Ac2RBHbVJF92sUclUuGYr+D7RpS4UdckaPvG1wZqRJRHwFBTHYvUpfwduaPrFg8TVrRk0mEZPT5JuA0laeIrMm8EnH8EA6Hqb\/iC4Vwgkw24xTrde0gSg+UiiHJCvjul2yyKZvWyqCrCtijL+Tc0CLx2AKy4aISOddvs\/GqrL3Pod9Xo1kHhdPNupNiDcczQOpSA4xTDORCovBNzxZGXMc4Zhmknk55WGLh4Pvl5f3Yk09KLwT5FaFD9vgg\/3SelzrLbxYksjx9SDqTcS3dRJlFjbCC7nOwWm78VzLyO0m6vV4V4318jncTd3kKZiYDUWOQ4IdYLUe8TBrJS1WRslOXyEM0FZbX6\/U1gRhI8RKJGmpoMbKtH\/BbVZ6nNkbW4I\/cLC2Ytp1AUNApKvcjmErxTYIvaTQHy5\/QhEnsQAfu0jpPWjTRKyDBtVE6TwYTjKU1H7XO\/\/8Vp\/tls\/twZHo5CRlv4OFvpTgeWWzjg\/m\/fwf51LXrjkimw\/EW0m\/O3wcwqe9ibSSlU3a6UF\/o8V2wR6J+pSpSP8OQW5WjD18huvM\/CRKSNyFo9Ag5yBN8n4pidc\/lb0OUO2qHCMv0O6XlMzNJY3Qq\/TFVGhO1AbvVL5I55vcqLuQloRfnwgKnY8i8oNzf4aeJtTxvFXhefnpcAGxSCKKdTojLBIWoFONFVjjOFoK119RQKrKOxr8c1O4zPSn+K3YurFAV01FFrUkWMRm4qg0eoOhnEUIcJA1FHqnNF6bQ6\/NE9DSPQ7G7odPGqHUJns2lXFXOgf4OuGUwK7Quqp8IJlmQTQnL66lRw56NfPlOHLppdMidy0QeTC9yx35EF2i0y9XW3U4IQOeM3UiijtRW75UPoI90RgVBLd4BlPVwEP+rp2wIMdAUh6\/Ia29ZgSrcT5vlASnu0zAWxyPOr7nsD9uMP1id0YqMXc4uIn5MwZNf1dHc1hfg2VtURXjEIhIayV46MeF\/JVUHFIV34kvBRT3uZeZA1pVzVdF1\/62kN6ni85Aa2pRmxj3u6Oq8+AjQEzcN5hb1pukXbS3dWyuCvyMwwHuXLKEsbR2SqJy2ypKvgJJzQUQLMd6zFMUgIff9idyVald46NRLaRmeoAOLRqTPyuoL7Rc6HWyxe0xFAru9jVUuesihkIVfXlP90So3B4roOe8UvcP\/p5Pdu\/GJr7zPYuhJdnipQ3VwITzjFVeLwu\/BzF2Je0ayBryDMhK9qra0zf+fY87Avo7\/vZZQ3nRefqCMp3nKxvgbmue2hc\/yk69k\/a8IUB2HXJDGiL+13peEGAifVXYSbBI2ER9C2QSnIapCW9dCQkGyFljAt9v6SQER9XNkCNayvBOFJTUXQz2sWLi2\/j7WHDKtneumQ1bnxHae\/OrR7U2aEy0FOES4Fd6IM+F9vboUF7gi1xqW+2+y8jy\/kCA6oXeJhoLwYqlqqQoJZ8tJen\/VDwNHazExcljx3tpfHvmwlvJee9qXjyTZ0n3wz6o50M+Xu3OV3+RqfLV50wBSJ8Pq+5s0ol3EE8SSrriDvno6qdHBPKbmslKuTGvvHznaFj9pHfviBsf88rRab\/ET6Ucd+7V\/d0feu17iFY0jhGnE8NmQSh1M6LG3ZrQ\/L+N\/Z20I2ldcu+sbfP4MrzN1D1YSfleGinhkPrA2r2KGhWc6s8ULsuqqYizklxmGvrbFE5NDTTY79Trb\/ydzqQ2n1XRlS\/NlOqWMy8OABS\/bpFquHQ+qp6\/MLfbY6vryvAVl\/o6os+hEnLr7jjPCoWIBazJJUtkwX88bJZ\/UFXf9RSkn6FVIoPJVfYQhzqGkRJA+hYJT2jGVrxcrWJPMy2hNsCPsDp\/9Fze0JlORvr\/NvOdVbpzI+S\/1YhwdX8E6H6Tc+gzR4lZcXTo7Q7lGlJgHZbo6DQm3+3pCiA720WFFmmhpCAxwGpjNxxKUl3SgLMU6V1ITDW9yfSnv7lblbsmg5+zFGkKkf0b81pY4Uqe71+6BJWdd9ygWzcWC3MXIUvf+rFuqOseLjDpdLAl+Jz1wjqGCAIxkICXhrh+a6STEZk8IZ3ujd257Q4eNu9sSHEXnzx9QJ4\/EX\/xu4M4AsAOrfQGjMdnrrAz8GC9\/r7+lnEw0cl\/\/\/ifQbRF0+K4F4pMnd81CtlR2+0s0fO+biWXw2d3wGBqoUp97a5EEDD+1YBXy\/iXetdyEGOFsZ7MWMO0mss3SAxc5MVFNlIceOS4kaUFQ8jpDgEbDdzmIgl3o6\/B25Mt4XjOMAv32W+NxOkgOdFTHmksrFHmjHT1aiWhq30zN0GD9p0KOC0QncHH1beK59KsXRXihpNYMYZggaWb4ijOk3gDPayA2xRoQmJ6+mpLDggdDVz9K0Db8XQyyPIyR2XIcICvv18ofAm1FhDyTmfMe2+v6ClMu1udrXcMO3Yed0iuoTPV7Nbfl6jmfM0TR5v0XluYARLv8wIHGI\/t2\/Ko\/P1BldiuP3WW6BYfK\/V8N6HZCqw9mK77l0cYNX37arP3khU4Lz6sbmFObRuU\/CuhuX1rcoGKrMRLqpEhO\/sltZ0kvH+wHmdyHYjSCG7keLUR5H\/vXMkla\/zEbJY9Bm3b7VTFB+b7ie45x8h\/gmX0teixl9KX+SXfnuwhhsJxqg4f63O37Y6ri7rvm285Pq+uj37rd1IVb2O2+oAIovO33aVXr07Uf6d2mKNdV\/5eMt9PQM9cszu+28HrP9O5dB\/UDn03ywopUdftWP7nfrL3mFG\/QfMqH9XuLqd13j8cp8U2RKwuOYN0mJ3TQPhvIcJFI3BkaJfUwhTa7F+RvRD5sHfk\/1Vugl8Jw7O8e5RupLHWKR3v\/xTx6O2\/Vs\/jPYR76rm9\/q3tbcx0y6MRkK44KMtQlCqlzUrD3FcIhXQo0u9\/Bd6+W\/4nRPGc7iFpPie+66TGUhcI3bD+lW35+psyKw8G3IOhDSg+1coEl5tiYrPyza5krP5qF\/hwvQkN\/lLtWYGvtAXZRKNQMw\/l0m0NlSr7j4tbf+sn9NgXqKTlg7\/v24OFEKZ3b1YFF++WBRfvFAUa8IskXCrkPBtN5\/rqs+Q7jgnc9v6pgnb+IDFN0Xblcw6ME5KWXf2x1fWZeuO0qML+upijeIP8rnGQAif1VpdejMJsa2ZoxfvY1Bc\/XFLV9pxOmLfqx2mo\/03DXP7bt2WrWDJvv3A1UkPa0QLu3SEH4XUe9DYGGOdSrWP1d2ASNnXLJ8Rdv5cI3UgGxquu+PnuCsOubNNOd7OFsZgtEpP+wvu4xep9MbeQK2l0Ow3zLjijhe4FrFXf7QwsxUYRWnSSAonNcb1I2WbV2kE9aOU0gr6ywGrAnHLZwNxO25M2WdxLOhq0Xy28QW4uu41RIHd4svFeMHKrkSMKCS0+8k4Y\/nMLfwIuPaeqYD1GQaU2YEfSnGQpAezJJP6ivJLLw0ydhCF8STDBngnAMPOygvLq0s+D7vX9eSVT+y6lrwCH1\/SD7WzDgRBOPDi4ECBRpSVc7U\/wJmHpkiCz6h\/Pr0qFv8zLP5V\/\/OgtiprPFtWnTo08P4+HPHVXKRZmMRuh6k01XvJpkk6G7tjyUZCuuVmMPIje0pFUh+XKL7PGabCXcLLcFts9Vb9fNb23FQeQjHDwTMnM\/C+OmnB0QzsWHPJnK7UaY1mKldXxcCHtWToE7zqI5dh5K7giqqpZEWSq\/s\/cEXVXezNMrjOKpLweJ98jkfuQjL0r99iJrJk4Ny\/xytWY8lUeEY9hhI0Rot2\/y8=<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-data\" data-nx-pack=\"deflate\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-water-gibs\" data-nx-pack=\"deflate\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-water-engine\" data-nx-run=\"water\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-sources\" data-nx-run=\"mlsources\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-maplibre-engine\" data-nx-run=\"maplibre\">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<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">(function(){function M(g,w){var l=atob(g),c=new Uint8Array(l.length),r;for(r=0;r< l.length;r++){c[r]=l.charCodeAt(r)}var o=0,e=0,b=0,f=new Uint8Array(Math.max(1024,c.length*6)),n=0;var V=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var W=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var Y=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var Z=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var z=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function u(a){while(b< a){if(o>=c.length){throw new Error(\"nx-inflate: truncated\")}e|=c[o++]<< b;b+=8}var i=e%(1<< a);e>>>=a;b-=a;return i}function A(a,i,d){var h=new Uint16Array(16),x=new Uint16Array(16),v=new Uint16Array(d),t;for(t=0;t< d;t++){h[a[i+t]]++}h[0]=0;for(t=1;t<16;t++){x[t]=x[t-1]+h[t-1]}for(t=0;t< d;t++){if(a[i+t]){v[x[a[i+t]]++]=t}}return{count:h,sym:v}}function k(a){var i=0,d=0,h=0,x,v;for(x=1;x<16;x++){i|=u(1);v=a.count[x];if(i-v< d){return a.sym[h+(i-d)]}h+=v;d+=v;d<<=1;i<<=1}throw new Error(\"nx-inflate: bad code\")}function I(a){if(n+a<=f.length){return}var i=new Uint8Array(Math.max(f.length*2,n+a));i.set(f.subarray(0,n));f=i}var L=null,R=null,T=0;while(!T){T=u(1);var O=u(2),S,$;if(O===0){e=0;b=0;var E=c[o]|c[o+1]<<8;o+=4;I(E);f.set(c.subarray(o,o+E),n);n+=E;o+=E;continue}if(O===1){if(!L){var X=new Uint8Array(288),J=new Uint8Array(30);for(r=0;r<288;r++){X[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){J[r]=5}L=A(X,0,288);R=A(J,0,30)}S=L;$=R}else if(O===2){var B=u(5)+257,j=u(5)+1,rr=u(4)+4,U=new Uint8Array(320),q=new Uint8Array(19);for(r=0;r< rr;r++){q[z[r]]=u(3)}var nr=A(q,0,19),_=0;while(_< B+j){var p=k(nr),C=0,F=0;if(p<16){U[_++]=p;continue}if(p===16){if(!_){throw new Error(\"nx-inflate: bad repeat\")}F=U[_-1];C=3+u(2)}else if(p===17){C=3+u(3)}else{C=11+u(7)}while(C--){U[_++]=F}}S=A(U,0,B);$=A(U,B,j)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var s=k(S);if(s<256){I(1);f[n++]=s;continue}if(s===256){break}s-=257;var G=V[s]+u(W[s]),H=k($),K=Y[H]+u(Z[H]);if(K>n){throw new Error(\"nx-inflate: bad distance\")}I(G);for(var P=0;P< G;P++){f[n]=f[n-K];n++}}}return w?f.subarray(0,n):new TextDecoder(\"utf-8\").decode(f.subarray(0,n))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=M}function Q(g){var w=M(g,true),l=w[0]|w[1]<<8|w[2]<<16|w[3]<<24;var c=w.subarray(4+l);function r(o,e){var b=\"\",f=c.subarray(o,o+e);for(var n=0;e>n;n+=8192){b+=String.fromCharCode.apply(null,f.subarray(n,n+8192))}return btoa(b)}return JSON.parse(new TextDecoder(\"utf-8\").decode(w.subarray(4,4+l)),function(o,e){return e?e.$b?r(e.$b[0],e.$b[1]):e:e})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=Q}var N=document.querySelectorAll(\"script[data-nx-run]\");for(var D=0;D< N.length;D++){var y=N[D];if(y.hasAttribute(\"data-nx-ran\")){continue}y.setAttribute(\"data-nx-ran\",\"true\");try{var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",y.getAttribute(\"data-nx-run\"));m.textContent=window.__nxInflate(y.textContent);(document.head||document.documentElement).appendChild(m)}catch(g){y.setAttribute(\"data-nx-ran\",\"failed\")}}})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g-p11-topics-quantum-computing\"><div class=\"nxe\" id=\"nxe-n7hqbsbg\" data-inst=\"gcri\" data-theme=\"light\" data-grammar=\"atlas\" data-domain=\"project\" data-arche=\"topic\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-n7hqbsbg.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-n7hqbsbg.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-n7hqbsbg.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-n7hqbsbg.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-n7hqbsbg.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-n7hqbsbg.nxe :where(ul,ol){padding-left:20px}#nxe-n7hqbsbg.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-n7hqbsbg.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-n7hqbsbg.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-n7hqbsbg.nxe svg{display:none}#nxe-n7hqbsbg.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-n7hqbsbg.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n7hqbsbg.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"dossier\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G-P11 \u00b7 TOPIC \u00b7 quantum-computing<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Quantum Technologies<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">In development<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Topic dossier \u00b7 Quantum Technologies<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Quantum computing<\/h1><p class=\"nx-tagline\">Quantum computers use qubits that can be in superpositions and become entangled, which in principle lets some problems be solved far faster than on classical computers. Current machines are noisy and small, and useful fault-tolerant computing requires error correction that is only beginning to be demonstrated. This page sets out how quantum computers work and fail, how progress is measured honestly, and what evidence serves the institutions deciding how to engage.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/quantum\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/quantum\/topics\/\">Back to Topics<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Dossier<\/strong><\/span><span class=\"nx-eyebrow\">G-P11 \u00b7 topic<\/span><\/div><ol class=\"nx-register-rows\"><li><a href=\"#nx-sec-brief-answer\"><span class=\"nx-register-n\">01<\/span><span class=\"nx-register-k\">In brief<\/span><span class=\"nx-register-v\">Definition and scope<\/span><\/a><\/li><li><a href=\"#nx-sec-question\"><span class=\"nx-register-n\">02<\/span><span class=\"nx-register-k\">The question<\/span><span class=\"nx-register-v\">4 mechanisms<\/span><\/a><\/li><li><a href=\"#nx-sec-terms\"><span class=\"nx-register-n\">03<\/span><span class=\"nx-register-k\">Key terms<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-field\"><span class=\"nx-register-n\">04<\/span><span class=\"nx-register-k\">Field<\/span><span class=\"nx-register-v\">H3 field plate<\/span><\/a><\/li><li><a href=\"#nx-sec-indicators\"><span class=\"nx-register-n\">05<\/span><span class=\"nx-register-k\">Indicators<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">6<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-pipeline\"><span class=\"nx-register-n\">06<\/span><span class=\"nx-register-k\">Pipeline<\/span><span class=\"nx-register-v\">Run graph<\/span><\/a><\/li><li><a href=\"#nx-sec-sources\"><span class=\"nx-register-n\">07<\/span><span class=\"nx-register-k\">Sources<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">5<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-decisions\"><span class=\"nx-register-n\">08<\/span><span class=\"nx-register-k\">Decision holders<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><li><a href=\"#nx-sec-methods\"><span class=\"nx-register-n\">09<\/span><span class=\"nx-register-k\">Methods<\/span><span class=\"nx-register-v\"><span class=\"nx-register-num\">3<\/span><\/span><\/a><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 In development \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-field\"><span>02<\/span>Connected activity in Japan and Korea<\/a><a href=\"#nx-s-4-sec\"><span>03<\/span>Quantum testbed, in outline<\/a><a href=\"#nx-sec-question\"><span>04<\/span>Quantum computing: how the risk\u2026<\/a><a href=\"#nx-sec-terms\"><span>05<\/span>Terms used on this page<\/a><a href=\"#nx-sec-indicators\"><span>06<\/span>What is measured, and how well<\/a><a href=\"#nx-sec-pipeline\"><span>07<\/span>From sources to decisions<\/a><a href=\"#nx-sec-sources\"><span>08<\/span>Where the evidence comes from<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Quantum computing is computation that uses qubits, superposition and entanglement to solve some problems faster than classical computers. Today's machines are noisy and small, fault tolerance needs error correction with large overhead, and advantage is specific to particular problems and must be compared with the best classical methods.<\/p><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Connected activity in Japan and Korea.<\/h2><p class=\"nx-lede\">For quantum computing, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on Japan and Korea; every other NASA layer, live feed and forecast waits in the layer list.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-cmap-field\" data-nx-map=\"ctx-field\" data-cmap=\"japan-korea:digital\" data-ml-src=\"digital\" data-ml-plan=\"p-2bc81033\"><div class=\"nx-wm\" data-nx-water=\"ctx-digital\" data-wm-domain=\"ctx-digital\" data-wm-tiles=\"on\" data-wm-flat=\"on\" data-wm-focus=\"124,30,146,45.6\" data-ws-live=\"off\" data-claim=\"INTEGRATED\" data-wm-panel=\"closed\" data-wm-mode=\"2d\"><div class=\"nx-wm-stage\" tabindex=\"0\" role=\"application\" aria-roledescription=\"interactive map\" aria-label=\"Connected activity, Japan and Korea: satellite and model layers from NASA on a 3D terrain of ASTER GDEM elevation. Arrow keys move; with Shift they turn and tilt in 3D; plus and minus zoom, 0 resets; I inspects, question mark lists the keys.\" aria-describedby=\"nx-wm-help\"><canvas class=\"nx-wm-canvas\" aria-hidden=\"true\"><\/canvas><p class=\"nx-wm-noscript\">The interactive map needs JavaScript; the layer list and sources are below.<\/p><div class=\"nx-wm-presets\" role=\"group\" aria-label=\"Quick views\"><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl,people||||\" aria-pressed=\"false\">Lights and people<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"ntl||||\" aria-pressed=\"false\">Night lights<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"true||||\" aria-pressed=\"false\">True colour<\/button><button type=\"button\" class=\"nx-wm-preset\" data-wm-preset=\"people||||\" aria-pressed=\"false\">Population<\/button><\/div><div class=\"nx-wm-panel\" id=\"nx-wm-panel\" role=\"region\" aria-label=\"Map layers\"><div class=\"nx-wm-panel-head\"><p class=\"nx-wm-panel-title\">Layers <span class=\"nx-wm-count\">3<\/span><\/p><button type=\"button\" class=\"nx-wm-icon nx-wm-panel-close\" data-wm-act=\"panel\" aria-label=\"Close the layer list\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-panel-body\"><div class=\"nx-wm-group\"><p class=\"nx-wm-group-title\">Connected activity, for this page<\/p><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ntl\" aria-pressed=\"true\" data-wm-z=\"20\" data-wm-lag=\"0\" data-wm-op=\"0.9\" data-wm-short=\"Night lights\" data-wm-prov=\"NASA LAADS DAAC\" data-wm-kind=\"Satellite radiance, corrected for moonlight and atmosphere\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Night-time lights, daily<\/span><span class=\"nx-wm-layer-src\">NASA LAADS DAAC VIIRS Black Marble (VNP46A2) \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ntl\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"true\" aria-pressed=\"true\" data-wm-z=\"21\" data-wm-lag=\"1\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite image\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">True colour<\/span><span class=\"nx-wm-layer-src\">NASA LANCE VIIRS NOAA-20 corrected reflectance \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"true\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"people\" aria-pressed=\"true\" data-wm-z=\"22\" data-wm-lag=\"0\" data-wm-op=\"0.8\" data-wm-short=\"Population density\" data-wm-prov=\"NASA SEDAC (CIESIN, Columbia University)\" data-wm-kind=\"Census-based estimate, static (2020)\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Population density, 2020<\/span><span class=\"nx-wm-layer-src\">NASA SEDAC (CIESIN, Columbia University) Gridded Population of the World v4.11 \u00b7 <span data-wm-date=\"people\">static<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"people\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"cover\" aria-pressed=\"false\" data-wm-z=\"23\" data-wm-lag=\"0\" data-wm-time=\"latest\" data-wm-op=\"0.7\" data-wm-short=\"Land cover\" data-wm-prov=\"NASA LP DAAC\" data-wm-kind=\"Satellite classification; latest year GIBS publishes\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Land cover type (IGBP), yearly<\/span><span class=\"nx-wm-layer-src\">NASA LP DAAC MODIS Terra and Aqua land cover (MCD12Q1) \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"cover\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"evi\" aria-pressed=\"false\" data-wm-z=\"24\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Vegetation (EVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Enhanced vegetation index, rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra EVI \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"evi\" hidden><\/div><button type=\"button\" class=\"nx-wm-layer\" data-wm-toggle=\"ndvi\" aria-pressed=\"false\" data-wm-z=\"25\" data-wm-lag=\"0\" data-wm-op=\"0.85\" data-wm-short=\"Greenness (NDVI)\" data-wm-prov=\"NASA LANCE\" data-wm-kind=\"Satellite index; clouds leave gaps\"><span class=\"nx-wm-check\" aria-hidden=\"true\"><\/span><span class=\"nx-wm-layer-text\"><span class=\"nx-wm-layer-name\">Vegetation greenness (NDVI), rolling 8 days<\/span><span class=\"nx-wm-layer-src\">NASA LANCE MODIS Terra NDVI \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/span><\/span><\/button><div class=\"nx-wm-tools\" data-wm-tools=\"ndvi\" hidden><\/div><\/div><\/div><\/div><div class=\"nx-wm-rail\" role=\"toolbar\" aria-orientation=\"vertical\" aria-label=\"Map controls\"><button type=\"button\" class=\"nx-wm-icon nx-wm-open\" data-wm-act=\"panel\" aria-controls=\"nx-wm-panel\" aria-expanded=\"false\" aria-label=\"Layers\" title=\"Layers\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 2.5l-6.5 3.5 6.5 3.5 6.5-3.5zm-6.5 6.5 6.5 3.5 6.5-3.5m-13 2.8 6.5 3.5 6.5-3.5\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"tools\" aria-controls=\"nx-wm-menu\" aria-expanded=\"false\" aria-label=\"Expert tools\" title=\"Expert tools\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 4.5l10 0m-10 3.5 10 0m-10 3.5 10 0m-7.5-8.5 0 3m5 .5 0 3m-3.5.5 0 3\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><span class=\"nx-wm-sep\" aria-hidden=\"true\"><\/span><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"in\" aria-label=\"Zoom in\" title=\"Zoom in\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M8 3v10M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"out\" aria-label=\"Zoom out\" title=\"Zoom out\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3 8h10\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"reset\" aria-label=\"Reset the view\" title=\"Reset the view\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.2 8a4.8 4.8 0 1 0 1.5-3.5M3.2 2.6v2.6h2.6\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"full\" aria-label=\"Full screen\" title=\"Full screen\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M2.5 6l0-3.5 3.5 0m7.5 3.5 0-3.5-3.5 0m-7.5 7.5 0 3.5 3.5 0m7.5-3.5 0 3.5-3.5 0\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-menu\" id=\"nx-wm-menu\" role=\"menu\" aria-label=\"Expert tools\" hidden><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"inspect\">Inspect a point<kbd>I<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"measure\">Measure distance<kbd>M<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitemcheckbox\" aria-checked=\"false\" data-wm-tool=\"compare\">Compare two dates<kbd>C<\/kbd><\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"share\">Copy a link to this view<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"png\">Export as PNG with credits<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"xt\" data-wm-xt=\"6oPh6EhWj+gDMzpLLT8H\/wVfxJakWdyAB8snze2Nado=\">More expert tools<\/button><button type=\"button\" class=\"nx-wm-menu-item\" role=\"menuitem\" data-wm-tool=\"keys\">Keyboard shortcuts<kbd>?<\/kbd><\/button><\/div><div class=\"nx-wm-keys\" role=\"dialog\" aria-label=\"Keyboard shortcuts\" hidden><p class=\"nx-wm-keys-title\">Keyboard, with the map focused<\/p><dl class=\"nx-wm-keys-list\"><\/dl><button type=\"button\" class=\"nx-wm-icon nx-wm-keys-close\" data-wm-tool=\"keys\" aria-label=\"Close the shortcuts\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><p class=\"nx-wm-hint\" hidden>Hold Ctrl or \u2318 and scroll to zoom<\/p><p class=\"nx-wm-toolbar\" role=\"status\" hidden><\/p><div class=\"nx-wm-tip\" role=\"tooltip\" hidden><\/div><div class=\"nx-wm-pin\" hidden><div class=\"nx-wm-pin-head\"><p class=\"nx-wm-pin-title\"><\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-act=\"unpin\" aria-label=\"Close the card\"><svg viewBox=\"0 0 16 16\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M3.5 3.5l9 9M12.5 3.5l-9 9\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"\/><\/svg><\/button><\/div><div class=\"nx-wm-pin-chart\"><\/div><div class=\"nx-wm-pin-body\"><\/div><\/div><div class=\"nx-wm-dock\"><div class=\"nx-wm-time\" role=\"group\" aria-label=\"Imagery date\"><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"prev\" aria-label=\"One day earlier\">\u2039<\/button><p class=\"nx-wm-time-label\">Latest available<\/p><button type=\"button\" class=\"nx-wm-icon\" data-wm-step=\"next\" aria-label=\"One day later\">\u203a<\/button><span class=\"nx-wm-track\" role=\"slider\" tabindex=\"0\" aria-label=\"Imagery date, up to 30 days back\"><\/span><button type=\"button\" class=\"nx-wm-latest\" data-wm-step=\"latest\" aria-pressed=\"true\">Latest<\/button><\/div><div class=\"nx-wm-chips\" role=\"group\" aria-label=\"Legends\"><\/div><p class=\"nx-wm-attrib\">NASA GIBS \/ EOSDIS \u00b7 ASTER GDEM (METI, NASA) \u00b7 Blue Marble (NASA) \u00b7 \u00a9 OpenStreetMap contributors (ODbL) \u00b7 Natural Earth<\/p><div class=\"nx-wm-legends\" aria-live=\"polite\" hidden><\/div><\/div><\/div><div class=\"nx-container nx-wm-below\"><p class=\"nx-wm-status\" role=\"status\">Loading the latest NASA imagery.<\/p><p id=\"nx-wm-help\" class=\"nx-wm-help\">Drag to move. Ctrl or \u2318 and scroll, pinch or the buttons to zoom; hover for the values under the pointer; reset returns to the region.<\/p><p class=\"nx-caption\"><span>For quantum computing, in GCRI's spatial-intelligence reading, the map opens on night lights, true-colour imagery and population density with true colour from NASA GIBS, framed on Japan and Korea; every other NASA layer, live feed and forecast waits in the layer list.<\/span><span data-honesty=\"true\">Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.<\/span><\/p><details class=\"nx-wm-credits\"><summary><span class=\"nx-wm-credits-line\">Data: NASA GIBS \u00b7 ASTER GDEM \u00b7 Blue Marble \u00b7 \u00a9 OpenStreetMap contributors \u00b7 Natural Earth \u00b7 Copernicus Sentinel-2 L2A \u00b7 NASA HLS S30<\/span><span class=\"nx-wm-credits-more\">Sources and licences<\/span><\/summary><p class=\"nx-wm-credit\"><ul class=\"nx-wm-credit-list\"><li data-wm-credit=\"nasa.gibs.field-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.gibs.water-layers\">We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.laads.black-marble\">VIIRS Black Marble night-time lights, NASA Goddard Space Flight Center; distributed by the NASA Level-1 and Atmosphere Archive and Distribution System (LAADS DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa.lance.viirs-water\">VIIRS near-real-time products (flood, land surface temperature, snow cover, corrected reflectance), NASA LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"sedac.gpw-v4\">Center for International Earth Science Information Network (CIESIN), Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. NASA Socioeconomic Data and Applications Center (SEDAC). Licensed under CC BY 4.0. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\" rel=\"noopener\" target=\"_blank\">CC BY 4.0<\/a><\/li><li data-wm-credit=\"nasa.modis-viirs.land\">MODIS land products (vegetation indices, gross primary production, land cover), NASA LP DAAC and LANCE; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"nasa-meti.aster-gdem-v3\">ASTER GDEM is a product of METI and NASA (ASTER Global Digital Elevation Model V003, NASA LP DAAC); imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li data-wm-credit=\"naturalearth.all-scales\">Made with Natural Earth. Free vector and raster map data @ naturalearthdata.com. <a class=\"nx-link\" href=\"https:\/\/www.naturalearthdata.com\/about\/terms-of-use\/\" rel=\"noopener\" target=\"_blank\">Public domain<\/a><\/li><li data-wm-credit=\"nasa.gibs.reference-osm\">\u00a9 OpenStreetMap contributors (ODbL), via NASA GIBS (coastlines, boundaries, roads and place names). Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.openstreetmap.org\/copyright\" rel=\"noopener\" target=\"_blank\">ODbL<\/a><\/li><li data-wm-credit=\"nasa.earth-observatory.blue-marble\">Blue Marble, NASA Earth Observatory; imagery via NASA GIBS. Colours redrawn from the published colour map; values averaged into H3 cells where shown (modified). <a class=\"nx-link\" href=\"https:\/\/www.earthdata.nasa.gov\/engage\/open-data-services-software-policies\" rel=\"noopener\" target=\"_blank\">NASA open data<\/a><\/li><li>Context on the globe and flat map: coastlines, boundaries, roads and place names from NASA GIBS reference layers (OpenStreetMap data, ODbL, \u00a9 OpenStreetMap contributors); Blue Marble imagery as an optional base; 3D terrain and the elevation read-out from the ASTER GDEM elevation colour index (5 m to 200 m classes, exaggerated for legibility). Boundaries are drawn as published and imply no position on any territory.<\/li><li>Globe: MapLibre GL JS 6.9.1, BSD-3-Clause, \u00a9 MapLibre contributors.<\/li><li>Observed (EO): Copernicus Sentinel-2 L2A (contains modified Copernicus Sentinel data 2026), Microsoft Planetary Computer<\/li><li>Observed (EO): NASA HLS S30 (contains modified Copernicus Sentinel data 2026). We acknowledge the use of imagery provided by services from NASA's Global Imagery Browse Services (GIBS), part of NASA's Earth Science Data and Information System (ESDIS).<\/li><li>Optional layers (35 sources in the layer list: live, forecast, observed and context) print their provider credit on the map and here when switched on; forecasts are model output and derived indices are estimates.<\/li><\/ul><p class=\"nx-wm-credit\"><strong>Layers and dates<\/strong><\/p><ul class=\"nx-wm-credit-list\"><li>Night-time lights, daily: VIIRS Black Marble (VNP46A2), NASA LAADS DAAC \u00b7 <span data-wm-date=\"ntl\">12 Oct 2026<\/span><\/li><li>True colour: VIIRS NOAA-20 corrected reflectance, NASA LANCE \u00b7 <span data-wm-date=\"true\">13 Oct 2026<\/span><\/li><li>Population density, 2020: Population: CIESIN, Columbia University, Gridded Population of the World v4.11 (2018), NASA SEDAC, CC BY 4.0 \u00b7 <span data-wm-date=\"people\">static<\/span><\/li><li>Land cover type (IGBP), yearly: MODIS Terra and Aqua land cover (MCD12Q1), NASA LP DAAC \u00b7 <span data-wm-date=\"cover\">2024<\/span><\/li><li>Enhanced vegetation index, rolling 8 days: MODIS Terra EVI, NASA LANCE \u00b7 <span data-wm-date=\"evi\">13 Oct 2026<\/span><\/li><li>Vegetation greenness (NDVI), rolling 8 days: MODIS Terra NDVI, NASA LANCE \u00b7 <span data-wm-date=\"ndvi\">13 Oct 2026<\/span><\/li><\/ul><\/p><\/details><\/div><\/div><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G-P11\/topics\/quantum-computing\/#map\" data-nxf-title=\"Quantum Technologies live map\" data-nxf-height=\"560\" hidden><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-s-4-sec\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Console<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Quantum testbed, in outline.<\/h2><p class=\"nx-lede\">The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-quantum-testbed\" data-cx=\"quantum.testbed\" data-variant=\"section\" aria-label=\"Quantum testbed: illustrative console with placeholder names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Quantum testbed<\/h3><p class=\"nx-fk-sub\">Quantum computing \u00b7 Testbed lab \u00b7 Device QD-28<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure's values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Calibration cycle<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Quantum Technologies<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Qubits<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-quantum-testbed-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-quantum-testbed-t0\" aria-label=\"Qubits\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Qubit<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">T1 (\u00b5s)<\/button><\/th><th scope=\"col\" data-col=\"c2\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">T2 (\u00b5s)<\/button><\/th><th scope=\"col\" data-col=\"c3\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">Readout error<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">State<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-quantum-testbed:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Q0<\/td><td data-num=\"true\" data-sv=\"121\">121<\/td><td data-num=\"true\" data-sv=\"49\">49<\/td><td data-num=\"true\" data-sv=\"0.03\">0.03<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Drifting<\/span><\/td><\/tr><tr data-fk-key=\"cx-quantum-testbed:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Q1<\/td><td data-num=\"true\" data-sv=\"118\">118<\/td><td data-num=\"true\" data-sv=\"24\">24<\/td><td data-num=\"true\" data-sv=\"0.03\">0.03<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Drifting<\/span><\/td><\/tr><tr data-fk-key=\"cx-quantum-testbed:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Q2<\/td><td data-num=\"true\" data-sv=\"94\">94<\/td><td data-num=\"true\" data-sv=\"41\">41<\/td><td data-num=\"true\" data-sv=\"0.03\">0.03<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Drifting<\/span><\/td><\/tr><tr data-fk-key=\"cx-quantum-testbed:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Q3<\/td><td data-num=\"true\" data-sv=\"73\">73<\/td><td data-num=\"true\" data-sv=\"93\">93<\/td><td data-num=\"true\" data-sv=\"0.05\">0.05<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Drifting<\/span><\/td><\/tr><tr data-fk-key=\"cx-quantum-testbed:r0-4\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Q4<\/td><td data-num=\"true\" data-sv=\"50\">50<\/td><td data-num=\"true\" data-sv=\"48\">48<\/td><td data-num=\"true\" data-sv=\"0.02\">0.02<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Drifting<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Device<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Topology<\/dt><dd>heavy-hex, placeholder<\/dd><\/div><div><dt>2Q fidelity<\/dt><dd>0.994<\/dd><\/div><div><dt>Access<\/dt><dd>by committee<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>OBSERVED<\/span><\/dd><\/div><\/dl><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Quantum testbed: the screen's structure, terms and states for Quantum computing.<\/span><span data-honesty=\"true\">Placeholder names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-question\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">The question<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Quantum computing: how the risk develops.<\/h2><p class=\"nx-lede\">Hardware, algorithms and actual maturity. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cells\" data-cols=\"2\"><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"1\"\/><path d=\"M20.2 20.2c2.04-2.03.02-7.36-4.5-11.9-4.54-4.52-9.87-6.54-11.9-4.5-2.04 2.03-.02 7.36 4.5 11.9 4.54 4.52 9.87 6.54 11.9 4.5Z\"\/><path d=\"M15.7 15.7c4.52-4.54 6.54-9.87 4.5-11.9-2.03-2.04-7.36-.02-11.9 4.5-4.52 4.54-6.54 9.87-4.5 11.9 2.03 2.04 7.36.02 11.9-4.5Z\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Qubits are fragile<\/h3><p class=\"nx-p nx-mt-1\">Qubits lose their quantum state through interaction with their environment. Gate errors and decoherence limit how long a computation can run before results become noise.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Error correction needs overhead<\/h3><p class=\"nx-p nx-mt-1\">Fault-tolerant computing encodes each logical qubit in many physical qubits and corrects errors continuously. It only helps once physical error rates fall below a threshold.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Advantage is problem-specific<\/h3><p class=\"nx-p nx-mt-1\">Quantum algorithms speed up particular problems, such as simulating quantum systems or factoring. For many tasks classical computers remain as good or better.<\/p><\/div><div><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"m8 11 2 2 4-4\"\/><circle cx=\"11\" cy=\"11\" r=\"8\"\/><path d=\"m21 21-4.3-4.3\"\/><\/svg><\/span><span class=\"nx-eyebrow\">Mechanism<\/span><\/div><h3 class=\"nx-h4 nx-mt-2\">Claims need classical comparison<\/h3><p class=\"nx-p nx-mt-1\">Demonstrations of quantum advantage are often followed by improved classical methods. Honest comparison requires the best classical approach, not a convenient one.<\/p><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Logical qubit<\/td><td data-label=\"Definition\">A qubit encoded across many physical qubits using error correction.<\/td><\/tr><tr><td data-label=\"Term\">Gate fidelity<\/td><td data-label=\"Definition\">How closely a quantum operation matches its ideal, often expressed as a percentage.<\/td><\/tr><tr><td data-label=\"Term\">Coherence time<\/td><td data-label=\"Definition\">How long a qubit keeps its quantum state before noise destroys it.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-indicators\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Indicators<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What is measured, and how well.<\/h2><p class=\"nx-lede\">Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Indicator<\/th><th scope=\"col\">Unit<\/th><th scope=\"col\">Cadence<\/th><th scope=\"col\">Source type<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Indicator\">Physical qubit count<\/td><td data-label=\"Unit\">qubits<\/td><td data-label=\"Cadence\">per announcement<\/td><td data-label=\"Source type\">Published device results<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Two-qubit gate fidelity<\/td><td data-label=\"Unit\">percent<\/td><td data-label=\"Cadence\">per device<\/td><td data-label=\"Source type\">Benchmark results<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Logical qubit error rate<\/td><td data-label=\"Unit\">errors per logical operation<\/td><td data-label=\"Cadence\">per experiment<\/td><td data-label=\"Source type\">Peer-reviewed experiments<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Coherence time<\/td><td data-label=\"Unit\">microseconds<\/td><td data-label=\"Cadence\">per device<\/td><td data-label=\"Source type\">Device characterisation<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Quantum volume or similar holistic benchmark<\/td><td data-label=\"Unit\">benchmark score<\/td><td data-label=\"Cadence\">per device<\/td><td data-label=\"Source type\">Published benchmarks<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Indicator\">Demonstrations surviving classical challenge<\/td><td data-label=\"Unit\">count<\/td><td data-label=\"Cadence\">per review<\/td><td data-label=\"Source type\">Literature review<\/td><td data-label=\"Label\"><span class=\"nx-chip\">ESTIMATED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"indicators\" data-nxf-kind=\"indicator\" data-nxf-resource=\"nexus:\/\/gcri\/G-P11\/topics\/quantum-computing\/#indicators\" data-nxf-title=\"Indicators\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-pipeline\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">From sources to decisions.<\/h2><p class=\"nx-lede\">The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Pipeline canvas<\/strong> \u00b7 Quantum computing as a run graph<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g-p11-topics-quantum-computing-pqc-t nx-dag-g-p11-topics-quantum-computing-pqc-d\" data-nx-z=\"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\"><title id=\"nx-dag-g-p11-topics-quantum-computing-pqc-t\">Quantum computing: migration to post-quantum cryptography<\/title><desc id=\"nx-dag-g-p11-topics-quantum-computing-pqc-d\">Every use of cryptography is inventoried; systems are prioritised by data lifetime and exposure to harvest-now-decrypt-later; standardised algorithms are selected; hybrid deployment is tested, cut over and kept crypto-agile. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 02<\/strong><span>Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-sources\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Sources<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Where the evidence comes from.<\/h2><p class=\"nx-lede\">Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Source<\/th><th scope=\"col\">What it gives<\/th><th scope=\"col\">Licence class<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Source\">arXiv quant-ph and peer-reviewed journals<\/td><td data-label=\"What it gives\">Primary experimental and theoretical results<\/td><td data-label=\"Licence class\">Open access preprints; journal licence per article<\/td><\/tr><tr><td data-label=\"Source\">Metriq benchmark platform (Unitary Foundation)<\/td><td data-label=\"What it gives\">Community-submitted quantum benchmark results<\/td><td data-label=\"Licence class\">Open, licence to check<\/td><\/tr><tr><td data-label=\"Source\">Vendor technical documentation and roadmaps<\/td><td data-label=\"What it gives\">Device specifications and stated targets<\/td><td data-label=\"Licence class\">Public documents, terms per vendor<\/td><\/tr><tr><td data-label=\"Source\">National academies and agency assessments of quantum computing<\/td><td data-label=\"What it gives\">Independent assessments of progress and prospects<\/td><td data-label=\"Licence class\">Public, terms per publisher<\/td><\/tr><tr><td data-label=\"Source\">QED-C reports<\/td><td data-label=\"What it gives\">Industry consortium analyses of use cases and benchmarks<\/td><td data-label=\"Licence class\">Public reports, terms to check<\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P11\/topics\/quantum-computing\/#evidence\" data-nxf-title=\"Sources\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-decisions\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Decisions<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who decides, and what the evidence serves.<\/h2><p class=\"nx-lede\">Quantum Technologies prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Who decides<\/th><th scope=\"col\">The question<\/th><th scope=\"col\">Evidence this page serves<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Who decides\">Research funders and science ministries<\/td><td data-label=\"The question\">How much to invest in quantum computing research and access<\/td><td data-label=\"Evidence this page serves\">Progress summaries; independent assessments<\/td><\/tr><tr><td data-label=\"Who decides\">Organizations exploring quantum use<\/td><td data-label=\"The question\">Whether a problem is a plausible quantum use case<\/td><td data-label=\"Evidence this page serves\">Use case assessments with classical baselines<\/td><\/tr><tr><td data-label=\"Who decides\">Security agencies<\/td><td data-label=\"The question\">How progress affects cryptographic migration timelines<\/td><td data-label=\"Evidence this page serves\">Error correction and scale evidence<\/td><\/tr><\/tbody><\/table><\/div><h3 class=\"nx-h4 nx-mt-4\">Outputs this topic produces<\/h3><ul class=\"nx-list\"><li>Progress summaries that separate peer-reviewed results from roadmaps<\/li><li>Benchmark interpretation guides<\/li><li>Use case assessments with classical baselines<\/li><li>Evidence notes for research funders<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-core-questions\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Core questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">What experts ask.<\/h2><p class=\"nx-lede\">The central question is what has been demonstrated, not what has been promised.<\/p><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\"><li>How many qubits does a device have, and how good are they: what are their error rates and coherence times?<\/li><li>Can errors be corrected faster than they accumulate, and at what cost in physical qubits per logical qubit?<\/li><li>Which algorithms offer a proven advantage over the best classical methods, and for which problems?<\/li><li>Are claims of quantum advantage robust to improved classical algorithms?<\/li><li>Which hardware approaches are likely to scale, and what limits them?<\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-mechanisms\" class=\"nx-section\" data-hue=\"project\" data-variant=\"split\" aria-labelledby=\"nx-s-12\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Mechanisms<\/span><\/div><h2 id=\"nx-s-12\" class=\"nx-section-title\">Mechanisms and drivers.<\/h2><\/div><div class=\"nx-section-body\"><p class=\"nx-p\">Quantum computers gain their power from interference: algorithms are designed so that wrong answers cancel and right answers reinforce. That power is fragile. Qubits lose their quantum state through interaction with the environment, and every operation introduces some error. Quantum error correction encodes one reliable logical qubit in many physical qubits, but only works if physical error rates are below a threshold, and it multiplies the hardware required.<\/p><p class=\"nx-p\">Known algorithms with large proven speed-ups are few. Factoring and discrete logarithms, which underpin public-key cryptography, are the best-known examples; simulation of quantum systems in chemistry and physics is another. For many optimization and machine-learning problems, a practical advantage has not been established, and improved classical algorithms have repeatedly narrowed claimed gaps.<\/p><\/div><\/div><\/section><section id=\"nx-sec-methods-and-data\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-13\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">12<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and data<\/span><\/div><h2 id=\"nx-s-13\" class=\"nx-section-title\">How it is studied, and where the methods stop.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Method or data<\/th><th scope=\"col\">What it shows<\/th><th scope=\"col\">Limits<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Method or data\">Benchmarking of gate fidelity and coherence<\/td><td data-label=\"What it shows\">Quality of physical qubits<\/td><td data-label=\"Limits\">Benchmarks can be chosen to flatter a device<\/td><\/tr><tr><td data-label=\"Method or data\">Error-correction experiments<\/td><td data-label=\"What it shows\">Whether logical qubits outperform physical ones<\/td><td data-label=\"Limits\">Early demonstrations are small and short-lived<\/td><\/tr><tr><td data-label=\"Method or data\">Algorithm complexity analysis<\/td><td data-label=\"What it shows\">Theoretical speed-up and resource estimates<\/td><td data-label=\"Limits\">Resource estimates depend on hardware assumptions<\/td><\/tr><tr><td data-label=\"Method or data\">Classical simulation and verification<\/td><td data-label=\"What it shows\">Whether results could be reproduced classically<\/td><td data-label=\"Limits\">Verification becomes harder as devices grow<\/td><\/tr><tr><td data-label=\"Method or data\">Peer-reviewed literature versus announcements<\/td><td data-label=\"What it shows\">What has been independently assessed<\/td><td data-label=\"Limits\">Announcements often precede, or replace, peer review<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-methods\" class=\"nx-section\" data-hue=\"project\" aria-labelledby=\"nx-s-14\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">13<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods<\/span><\/div><h2 id=\"nx-s-14\" class=\"nx-section-title\">How it is studied, and what the methods cannot say.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-methods\" data-limits=\"true\"><ol class=\"nx-mledger\" aria-label=\"Methods\"><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/quantum\/stem\/physics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">01<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Physics and quantum science<\/span><span class=\"nx-mledger-role\">Characterising qubit noise \u00b7 Metrology of quantum clocks \u00b7 Verifying quantum effects<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/science\/physics\/\" aria-label=\"Physics and quantum science: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/quantum\/stem\/quantum-technology\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">02<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Quantum computing, sensing and communication<\/span><span class=\"nx-mledger-role\">Comparable benchmarking \u00b7 Technology readiness assessment \u00b7 Security implications tracking<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/technology\/quantum-technology\/\" aria-label=\"Quantum computing, sensing and communication: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><li><a class=\"nx-mledger-main\" href=\"https:\/\/therisk.global\/quantum\/stem\/probability-statistics\/\"><span class=\"nx-mledger-n\" aria-hidden=\"true\">03<\/span><span class=\"nx-mledger-body\"><span class=\"nx-mledger-name\">Probability and statistics<\/span><span class=\"nx-mledger-role\">Fidelity estimation \u00b7 Testing advantage claims \u00b7 Analysing patent and investment data<\/span><\/span><span class=\"nx-mledger-go\"><span class=\"nx-mledger-go-label\">Applied here<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><div class=\"nx-mledger-aside\"><a class=\"nx-mledger-canon\" href=\"https:\/\/therisk.global\/stem\/mathematics\/probability-statistics\/\" aria-label=\"Probability and statistics: canonical page on the STEM Commons\">Canonical \u00b7 STEM Commons <span aria-hidden=\"true\">\u2197<\/span><\/a><\/div><\/li><\/ol><aside class=\"nx-limits\" aria-label=\"What the methods cannot say\"><span class=\"nx-eyebrow\">What the methods cannot say<\/span><p class=\"nx-limits-text\">Vendor announcements are not peer-reviewed and use different metrics. Benchmarks capture parts of performance and can be optimised for. Classical algorithms keep improving, moving the bar for advantage. Projections of fault-tolerant timelines vary widely. This platform makes no claim of quantum advantage or timeline; researchers and agencies decide.<\/p><\/aside><\/div><\/div><\/div><\/section><section id=\"nx-s-15-sec\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-15\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">14<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-15\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What is a qubit?<\/summary><div class=\"nx-answer\">The basic unit of quantum information, a two-level quantum system that can be in a superposition of states and become entangled with other qubits.<\/div><\/details><details><summary>What is quantum advantage?<\/summary><div class=\"nx-answer\">A demonstration that a quantum computer solves a specific task faster or better than the best known classical method. Claims are often challenged by improved classical methods.<\/div><\/details><details><summary>What is fault-tolerant quantum computing?<\/summary><div class=\"nx-answer\">Computing that uses quantum error correction so that long calculations can run reliably despite errors in physical qubits.<\/div><\/details><details><summary>Why does qubit count alone mislead?<\/summary><div class=\"nx-answer\">Because quality matters as much as quantity. Many noisy qubits may be less useful than fewer high-fidelity ones, and practical applications require error-corrected logical qubits.<\/div><\/details><details><summary>Does the platform predict when large quantum computers will arrive?<\/summary><div class=\"nx-answer\">No. Timelines are uncertain, and the platform reports expert views as ranges with their assumptions rather than as dates.<\/div><\/details><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-rel-16\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Related<\/span><h2 id=\"nx-rel-16\" class=\"nx-h3 nx-mt-2\">Around Quantum Technologies.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Related\"><a href=\"https:\/\/therisk.global\/quantum\/topics\/quantum-sensing\/\">Quantum sensing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/topics\/quantum-communications\/\">Quantum communications <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/topics\/post-quantum-cryptography\/\">Post quantum cryptography <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/topics\/quantum-and-materials\/\">Quantum and materials <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/topics\/quantum-workforce\/\">Quantum workforce <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/topics\/quantum-industries\/\">Quantum industries <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/\">Quantum Technologies home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/quantum\/counterparts\/\">Counterparts across the Consortium <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/\">The Global Centre for Risk and Innovation home <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/\">GCRI governance and trust <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-17\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Quantum Technologies<\/span><h2 id=\"nx-close-17\" class=\"nx-section-title\">Bring your expertise to this field.<\/h2><p class=\"nx-lede\">The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"mailto:contact@therisk.global?subject=Quantum%20Technologies%3A%20Quantum%20computing\">Write to the team <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/quantum\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"FAQPage\",\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#faq\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#webpage\"},\"inLanguage\":\"en\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is a qubit?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The basic unit of quantum information, a two-level quantum system that can be in a superposition of states and become entangled with other qubits.\"}},{\"@type\":\"Question\",\"name\":\"What is quantum advantage?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"A demonstration that a quantum computer solves a specific task faster or better than the best known classical method. Claims are often challenged by improved classical methods.\"}},{\"@type\":\"Question\",\"name\":\"What is fault-tolerant quantum computing?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Computing that uses quantum error correction so that long calculations can run reliably despite errors in physical qubits.\"}},{\"@type\":\"Question\",\"name\":\"Why does qubit count alone mislead?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Because quality matters as much as quantity. Many noisy qubits may be less useful than fewer high-fidelity ones, and practical applications require error-corrected logical qubits.\"}},{\"@type\":\"Question\",\"name\":\"Does the platform predict when large quantum computers will arrive?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. Timelines are uncertain, and the platform reports expert views as ranges with their assumptions rather than as dates.\"}}]},{\"@type\":\"DefinedTermSet\",\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#terms\",\"name\":\"Key terms: Quantum computing\",\"inLanguage\":\"en\",\"isPartOf\":{\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#webpage\"},\"hasDefinedTerm\":[{\"@type\":\"DefinedTerm\",\"name\":\"Logical qubit\",\"description\":\"A qubit encoded across many physical qubits using error correction.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Gate fidelity\",\"description\":\"How closely a quantum operation matches its ideal, often expressed as a percentage.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#terms\"}},{\"@type\":\"DefinedTerm\",\"name\":\"Coherence time\",\"description\":\"How long a qubit keeps its quantum state before noise destroys it.\",\"inDefinedTermSet\":{\"@id\":\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/#terms\"}}]}]}<\/script>\n\n<!-- nx-rev:635607342f87ae3d -->\n<!-- nx-path:\/topics\/quantum-computing\/ -->","protected":false},"excerpt":{"rendered":"<p>LightDarkAuto G-P11 \u00b7 TOPIC \u00b7 quantum-computingGCRI dossier \u00b7 service level R0 GCRI\u00b7Quantum Technologies\u00b7In development Topic dossier \u00b7 Quantum Technologies Quantum computing Quantum computers use qubits that can be in superpositions &hellip; <a href=\"https:\/\/therisk.global\/quantum\/topics\/quantum-computing\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Quantum computing&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":55,"menu_order":1368,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","footnotes":""},"class_list":["post-76","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/pages\/76","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/comments?post=76"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/pages\/76\/revisions"}],"predecessor-version":[{"id":121,"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/pages\/76\/revisions\/121"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/pages\/55"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/quantum\/wp-json\/wp\/v2\/media?parent=76"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}