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Noisy intermediate-scale quantum algorithms

2022· article· en· 1,653 citations· W4213212652 on OpenAlex· 10.1103/revmodphys.94.015004

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Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Machine scores (provisional)

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Opus teacher head0.022
GPT teacher head0.259
Teacher spread
0.237 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

Noisy quantum computers can in principle perform reliable quantum computations, but truly scalable systems require noise levels lower than are presently achieved. Still, moderate-complexity computations can be performed. This review discusses what is possible in this ``noisy intermediate scale'' quantum (NISQ) era. Topic areas include the simulation of many-body physics and chemistry, combinatorial optimization, and machine learning. It is evident that the NISQ era has produced new paradigms for programming that will be built upon as quantum computers are further perfected.

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The record

Venue
Reviews of Modern Physics
Topic
Quantum Computing Algorithms and Architecture
Field
Computer Science
Canadian institutions
Vector InstituteUniversity of Toronto
Funders
Engineering and Physical Sciences Research CouncilNatural Sciences and Engineering Research Council of CanadaSamsungMinistry of Education - SingaporeNational Research FoundationUK Research and InnovationOffice of Naval ResearchGoogleU.S. Department of Energy
Keywords
Quantum computerComputationScalabilityScale (ratio)QuantumQuantum algorithmComputational scienceNoise (video)PhysicsComputer scienceTheoretical computer scienceAlgorithmComputer engineeringArtificial intelligenceQuantum mechanics
Has abstract in OpenAlex
yes