Skip to content

GCRI · تەکنەلۆجیاکانی کوانتەم

کوانتەم و مادە

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.

01تابلۆ

چۆن کارەکە بەڕێوە دەچێت.

سیستەم · دەوروبەری ئەم بابەتەنموونەیی

Quantum testbed

Quantum and materials · Testbed lab · Device QD-77

Calibration cycleGCRI · تەکنەلۆجیاکانی کوانتەم

Qubits

Q01421160.02In spec
Q183480.01In spec
Q269990.01Drifting
Q3142210.05Drifting
Q4162830.03Drifting

Device

Topology
heavy-hex, illustrative
2Q fidelity
0.989
Access
by committee
ناونیشان
چاودێریکراو
Quantum testbed: the screen’s structure, terms and states for Quantum and materials.ناو و بەهای نموونەیی؛ دیزاینێکە، نەک تۆمار یان سیستەمی ڕاستەوخۆ.

وێنەQuantum testbed: example names and illustrative values, not a record or a live system.

02The question

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.

میکانیزم

Defects cause decoherence

Impurities, surface defects and two-level سیستەمە in materials interact with qubits and shorten coherence. Better materials and fabrication extend it.

میکانیزم

Fabrication sets yield

Producing many identical qubits needs precise fabrication. Variability between devices, even from one wafer, limits how far systems can scale.

میکانیزم

Some inputs are scarce

Helium-3 for dilution refrigerators, isotopically enriched silicon and specialised lasers have limited suppliers, creating supply risks.

میکانیزم

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.

03ڕێگا و بەڵگە

How quantum and materials is modelled, measured and tested.

مۆدێلەکە، گریمانەکانی، داتاکانی و نادڵنیاییەکەی، بەو شێوەیەی زانا یان ئەندازیارێک دەیپشکنێت. پێکهاتەکان ڕێگا بڵاوکراوەکان دەگرنەبەر. بەهاکانی کێشراو نموونەییە، نەک دۆزینەوە.

مۆدێلی سیستەم

The couplings between the systems in quantum and materials: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.

++−+کوانتەمسایبەریکۆمەڵگە خۆجێییەکانئابووریR بەهێزکەرB هاوسەنگ
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
پرەنسیپە ڕێنماییەکانی FAIR · GO FAIR و FORCE11W3C PROV · World Wide Web Consortiumڕێنمایی بۆ مامەڵەی یەکسان لەگەڵ نادڵنیاییەکان · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
04لە ناو بوارەکان

Quantum devices depend on materials with their own supply risks.

05نیشاندەرەکان

What is measured, and how well.

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.

IndicatorUnitCadenceSource typeناونیشان
Qubit coherence time by material platformmicrosecondsper publicationPeer-reviewed resultsچاودێریکراو
Device yield in fabricationpercent of functional qubitsper fabrication runFoundry and lab reportsREPORTED
Helium-3 supplylitres per yearannualGovernment and industry reportsمەزەندەکراو
Quantum chemistry demonstrations with classical comparisoncountper reviewLiterature reviewمەزەندەکراو
Specialised component supplierscount by componentper assessmentSupply chain studiesمەزەندەکراو
Materials databases used for qubit researchcountper assessmentResearch surveysREPORTED
06سەرچاوەکان

Where the evidence comes from.

Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.

سەرچاوەWhat it givesLicence class
Peer-reviewed materials and device literatureCoherence and fabrication resultsLicence per article
Materials Project and other open materials databasesComputed materials propertiesOpen, CC BY 4.0
Government reports on helium-3 and critical inputsSupply and demand of scarce inputsPublic, terms per government
Quantum supply chain studiesComponent suppliers and dependenciesLicence per publication (to check)
Benchmark studies of quantum chemistry algorithmsComparisons with classical methodsLicence per publication
07بڕیارەکان

Who decides, and what the evidence serves.

Quantum Technologies prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.

کێ بڕیار دەداتThe questionEvidence this page serves
Research fundersWhich materials and fabrication research to supportBottleneck reviews
Industry and national تاقیگەHow to secure specialised inputsSupply risk assessments
Chemistry and materials researchersWhere quantum simulation could help their workUse case assessments

Outputs this topic produces

  • 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
08Core questions

What experts ask.

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?
09Mechanisms

Mechanisms and drivers.

The behaviour of molecules and materials depends on how electrons interact. For many سیستەمە, 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.

10Methods and data

How it is studied, and where the methods stop.

Method or dataWhat it showsسنوورەکان
Classical computational chemistryAccurate results for many سیستەمەCost grows quickly for strongly correlated electrons
Quantum algorithm resource estimationQubits and operations needed for target problemsHighly sensitive to algorithm and hardware assumptions
Small-scale quantum simulation experimentsProof of principle on simple moleculesNot yet beyond classical reach for useful problems
Experimental materials characterisationGround truth for validationExperiments are costly and not always available
11میتۆدەکان

How it is studied, and what the methods cannot say.

12Where this page’s references

Where this page’s references lead.

ئەو لەش و بەڵگەنامانەی ئەم لاپەڕەیەیان لەگەڵ دەخوێنرێتەوە. دۆخ و وەشانەکان دەگۆڕێن؛ هەر بەستەرێک دەچێتە لای لەشی دەرکەر.

13پرسیارەکان

پرسیار و وەڵام.

Why do materials matter for qubits?
Because defects and impurities in materials disturb qubits and shorten coherence, so better materials and fabrication directly improve device performance.
What is quantum simulation?
Using a controllable quantum system or quantum computer to model another quantum system, such as a molecule or material.
Are there supply risks for quantum technology?
Some inputs, such as helium-3 and certain lasers and isotopes, have few suppliers, which supply chain studies identify as risks.
Has a quantum computer already designed a new material or drug?
Not in a way that classical methods could not match. Current demonstrations are proofs of principle on small systems.
Why is chemistry a natural application?
Because molecules are quantum systems. Simulating quantum systems with quantum hardware avoids some of the exponential costs classical computers face.
Should organisations wait for quantum simulation?
That is their decision. Evidence suggests classical methods will remain the workhorse for most problems for some time, while research into quantum methods continues.
Reportsبەشداربە

لەم لاپەڕەیەوە بەڵگە پێشکەش بکە.

Reports 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.

GCRIتەکنەلۆجیاکانی کوانتەمتەکنەلۆجیای ئێکسپۆنێنشیاڵڕوانگەی پێشبینیی ستراتیژی
تەکنەلۆجیاکانی کوانتەم

ڕێگایەک، کۆمەڵە داتایەک یان پرسیارێک بهێنە.

زانیاری و پرسیار ئەمڕۆ کراوەن. پرسیارێک ژمارەی ئاماژەی پێدەدرێت و هەنگاوی دواتر دیاری دەکات؛ داواکاری، پارەدان، تەرخانکردنی کۆمپیوتەر و تۆمارکردن تەنیا کاتێک دەکرێنەوە کە تیم، مەرج و توانای پێداچوونەوەیان هەبێت.