GCRI · Quantentechnologien

Quanten und Materialien

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.

01Arbeitsfläche

Wie die Arbeit abläuft.

System · rund um dieses ThemaBeispielhaft

Quantum testbed

Quantum and materials · Testbed lab · Device QD-77

Calibration cycleGCRI · Quantentechnologien

Qubits

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

Device

Topology
heavy-hex, illustrative
2Q fidelity
0.989
Zugang
by committee
Kennzeichnung
BEOBACHTET
Quantum testbed: the screen’s structure, terms and states for Quantum and materials.Beispielnamen und beispielhafte Werte; ein Entwurf, kein Eintrag und kein Live-System.

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

02Die Frage

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.

Mechanismus

Defects cause decoherence

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

Mechanismus

Fabrication sets yield

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

Mechanismus

Some inputs are scarce

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

Mechanismus

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.

03Methoden und Evidenz

How quantum and materials is modelled, measured and tested.

Das Modell, seine Annahmen, seine Daten und seine Unsicherheit in der Form, in der eine Wissenschaftlerin oder ein Ingenieur sie prüfen würde. Die Strukturen folgen veröffentlichten Methoden. Die dargestellten Werte sind illustrativ, keine Befunde.

Systemmodell

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

++−+QuantenCyberGemeinschaftenWirtschaftR verstärkendB ausgleichend
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.
FAIR-Leitprinzipien · GO FAIR und FORCE11W3C PROV · World Wide Web ConsortiumHinweise zur einheitlichen Behandlung von Unsicherheiten · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
04Domänenübergreifend

Quantum devices depend on materials with their own supply risks.

05Indikatoren

Was gemessen wird und wie gut.

Jeder Indikator trägt seine Einheit, seinen Rhythmus, die Art der zugrunde liegenden Quelle und die Evidenzkennzeichnung, die ein Wert tragen würde. Es werden keine Werte gezeigt: Ein Programm liefert sie unter seiner eigenen Autorität.

IndikatorEinheitTaktQuellentypKennzeichnung
Qubit coherence time by material platformmicrosecondsper publicationPeer-reviewed resultsBEOBACHTET
Device yield in fabricationpercent of functional qubitsper fabrication runFoundry and lab reportsBERICHTET
Helium-3 supplylitres per yearjährlichGovernment and industry reportsGESCHÄTZT
Quantum chemistry demonstrations with classical comparisonAnzahlje PrüfungLiterature reviewGESCHÄTZT
Specialised component supplierscount by componentje BewertungSupply chain studiesGESCHÄTZT
Materials databases used for qubit researchAnzahlje BewertungResearch surveysBERICHTET
06Quellen

Woher die Evidenz stammt.

Benannte öffentliche Datensätze und institutionelle Aufzeichnungen, jeweils mit ihrer Lizenzklasse. Quellen auf Vereinbarungsbasis werden nur zu ihren Bedingungen genutzt und niemals weiterveröffentlicht.

QuelleWas es liefertLizenzklasse
Peer-reviewed materials and device literatureCoherence and fabrication resultsLicence per article
Materials Project and other open materials databasesComputed materials propertiesOffen, 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
07Entscheidungen

Wer entscheidet und wozu die Evidenz dient.

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

Wer entscheidetDie FrageEvidenz, der diese Seite dient
ForschungsfördererWhich materials and fabrication research to supportBottleneck reviews
Industry and national LaboreHow to secure specialised inputsSupply risk assessments
Chemistry and materials researchersWhere quantum simulation could help their workUse case assessments

Ergebnisse, die dieses Thema hervorbringt

  • 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
08Kernfragen

Was Fachleute fragen.

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?
09Mechanismen

Mechanismen und Treiber.

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

10Methoden und Daten

Wie es untersucht wird und wo die Methoden enden.

Methode oder DatenWas es zeigtGrenzen
Classical computational chemistryAccurate results for many SystemeCost 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
11Methoden

Wie es untersucht wird und was die Methoden nicht sagen können.

12Where this page’s references

Where this page’s references lead.

Die Gremien und Dokumente, vor deren Hintergrund diese Seite gelesen wird. Status und Ausgaben ändern sich; jeder Link führt zur herausgebenden Stelle.

13Fragen

Fragen und Antworten.

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.
BerichteBeitragen

Evidenz von dieser Seite aus beitragen.

Berichte 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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