GCRI · Teknologi Kuantum
Kuantum dan material
Quantum technologies depend on materials, from superconducting circuits and semiconductor spin qubits to photonic chips and isotopically pure crystals. In turn, quantum simulation may one day help design new materials and molecules. This page sets out how materials limit quantum devices, how quantum methods could aid materials science, and what evidence serves the researchers and funders working at this intersection.
Bagaimana pekerjaan berjalan.
Quantum testbed
Quantum and materials · Testbed lab · Device QD-77
Qubit
| Q0 | 142 | 116 | 0.02 | In spec |
| Q1 | 83 | 48 | 0.01 | In spec |
| Q2 | 69 | 99 | 0.01 | Drifting |
| Q3 | 142 | 21 | 0.05 | Drifting |
| Q4 | 162 | 83 | 0.03 | Drifting |
Device
- Topology
- heavy-hex, illustrative
- 2Q fidelity
- 0.989
- Akses
- by committee
- Label
- TERAMATI
Gbr.Quantum testbed: example names and illustrative values, not a record or a live system.
Quantum and materials: how the risk develops.
Chemistry and materials simulation. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Defects cause decoherence
Impurities, surface defects and two-level sistem in materials interact with qubits and shorten coherence. Better materials and fabrication extend it.
Fabrication sets yield
Producing many identical qubits needs precise fabrication. Variability between devices, even from one wafer, limits how far systems can scale.
Some inputs are scarce
Helium-3 for dilution refrigerators, isotopically enriched silicon and specialised lasers have limited suppliers, creating supply risks.
Quantum simulation of matter
Simulating molecules and materials is a leading candidate use of quantum computers, though classical methods remain strong for most problems today.
How quantum and materials is modelled, measured and tested.
Model, asumsi, data, dan ketidakpastiannya, dalam bentuk yang akan diperiksa ilmuwan atau insinyur. Strukturnya mengikuti metode yang dipublikasikan. Nilai yang digambar bersifat ilustratif, bukan temuan.
Model sistem
The couplings between the systems in quantum and materials: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.
Quantum devices depend on materials with their own supply risks.
- EnergiKeterkaitanCryogenics and fabrication are energy-intensive.What to watchEnergy per device
- Keanekaragaman hayatiKeterkaitanSome specialised materials come from concentrated mining.What to watchMaterial sourcing
- KesehatanKeterkaitanHelium supply is shared with medical imaging.What to watchHelium supply constraints
Materials studies are designed for the Strategic Systems. Export controls coordinated through the Wassenaar Arrangement and national lists apply to some quantum items.
- Supply data for specialised materials.
- Export control analyses.
Apa yang diukur, dan seberapa baik.
Setiap indikator membawa satuan, frekuensi, jenis sumber di baliknya, dan label bukti yang akan dibawa suatu nilai. Tidak ada nilai yang ditampilkan: sebuah program menyediakannya berdasarkan wewenangnya sendiri.
| Indikator | Unit | Kadensi | Jenis sumber | Label |
|---|---|---|---|---|
| Qubit coherence time by material platform | microseconds | per publication | Peer-reviewed results | TERAMATI |
| Device yield in fabrication | percent of functional qubits | per fabrication run | Foundry and lab reports | DILAPORKAN |
| Helium-3 supply | litres per year | tahunan | Government and industry reports | ESTIMASI |
| Quantum chemistry demonstrations with classical comparison | jumlah | per tinjauan | Literature review | ESTIMASI |
| Specialised component suppliers | count by component | per penilaian | Supply chain studies | ESTIMASI |
| Materials databases used for qubit research | jumlah | per penilaian | Research surveys | DILAPORKAN |
Asal bukti.
Set data publik bernama dan catatan kelembagaan, masing-masing dengan kelas lisensinya. Sumber berdasarkan perjanjian hanya digunakan sesuai ketentuannya dan tidak pernah diterbitkan ulang.
| Sumber | Apa yang diberikannya | Kelas lisensi |
|---|---|---|
| Peer-reviewed materials and device literature | Coherence and fabrication results | Licence per article |
| Materials Project and other open materials databases | Computed materials properties | Terbuka, CC BY 4.0 |
| Government reports on helium-3 and critical inputs | Supply and demand of scarce inputs | Public, terms per government |
| Quantum supply chain studies | Component suppliers and dependencies | Licence per publication (to check) |
| Benchmark studies of quantum chemistry algorithms | Comparisons with classical methods | Licence per publication |
Siapa yang memutuskan, dan apa yang dilayani bukti.
Quantum Technologies prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Siapa yang memutuskan | Pertanyaannya | Bukti yang dilayani halaman ini |
|---|---|---|
| Penyandang dana penelitian | Which materials and fabrication research to support | Bottleneck reviews |
| Industry and national Lab | How to secure specialised inputs | Supply risk assessments |
| Chemistry and materials researchers | Where quantum simulation could help their work | Use case assessments |
Keluaran yang dihasilkan topik ini
- Materials bottleneck reviews for qubit platforms
- Supply risk assessments for specialised inputs
- Assessments of quantum simulation use cases with classical baselines
- Evidence notes for research funders
Apa yang ditanyakan pakar.
The question is whether quantum simulation will beat improving classical methods on problems that matter.
- Which chemical and materials problems are genuinely hard for classical methods?
- How large and how error-free must a quantum computer be to simulate them usefully?
- Can near-term noisy devices provide any useful result, or is error correction required?
- How will results be verified when classical methods cannot reproduce them?
- Which industrial and scientific questions would change if simulation improved?
Mekanisme dan pendorong.
The behaviour of molecules and materials depends on how electrons interact. For many sistem, classical approximations such as density functional theory work well. For strongly correlated systems, such as some catalysts, transition-metal complexes and high-temperature superconductors, the computational cost of exact classical simulation grows very rapidly with system size. A quantum computer represents quantum states natively and could, in principle, simulate such systems efficiently.
Resource estimates for industrially relevant problems suggest that large, error-corrected machines would be required. Meanwhile classical methods, including tensor networks and machine-learning approaches, keep improving and raising the bar. Quantum materials research also runs the other way: new materials are needed to build better qubits.
Cara hal ini dikaji, dan di mana batas metodenya.
| Metode atau data | Apa yang ditampilkannya | Batasan |
|---|---|---|
| Classical computational chemistry | Accurate results for many sistem | Cost grows quickly for strongly correlated electrons |
| Quantum algorithm resource estimation | Qubits and operations needed for target problems | Highly sensitive to algorithm and hardware assumptions |
| Small-scale quantum simulation experiments | Proof of principle on simple molecules | Not yet beyond classical reach for useful problems |
| Experimental materials characterisation | Ground truth for validation | Experiments are costly and not always available |
Cara hal ini dikaji, dan apa yang tidak dapat dinyatakan metodenya.
- 01Ilmu material dan kimiaMaterial untuk koherensi yang lebih lama · Variabilitas fabrikasi · Kasus penggunaan kimia kuantumDiterapkan di sini
- 02Fisika dan ilmu kuantumKarakterisasi derau qubit · Metrologi jam kuantum · Verifikasi efek kuantumDiterapkan di sini
- 03Komputasi, penginderaan, dan komunikasi kuantumTolok ukur yang dapat dibandingkan · Penilaian kesiapan teknologi · Pelacakan implikasi keamananDiterapkan di sini
Where this page’s references lead.
Badan dan dokumen yang menjadi acuan halaman ini. Status dan edisi berubah; setiap tautan menuju badan penerbitnya.
Tanya jawab.
Why do materials matter for qubits?
What is quantum simulation?
Are there supply risks for quantum technology?
Has a quantum computer already designed a new material or drug?
Why is chemistry a natural application?
Should organisations wait for quantum simulation?
Kontribusikan bukti dari halaman ini.
Laporan is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
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Bawa metode, dataset, atau pertanyaan.
Informasi dan pertanyaan sudah terbuka hari ini. Sebuah pertanyaan menerima nomor referensi dan menyebutkan langkah berikutnya; lamaran, pembayaran, alokasi komputasi, dan pendaftaran hanya dibuka ketika tim, ketentuan, dan kapasitas tinjauannya tersedia.
Dokumen hukum.
Peta, data, dan gambar di situs ini ditampilkan untuk konteks dan informasi umum. Semua itu bukan nasihat, prakiraan, atau peringatan; batasan informasinya dijelaskan dalam Penafian dan Pemberitahuan Data.