Science · 2024 · 63 citations · 121 references
Natural SciencesChemistryPhysicsQuantum ChemistryQuantum ComputingQuantum MechanicsAb Initio MethodsComputational Quantum MechanicsDensity Functional TheoryMany-body PhysicsQuantum AlgorithmsVariational FormulationAccuracyMany-body Quantum MechanicsMany-body Quantum SystemsQuantum AdvantageQuantum BenchmarkingQuantum Many-body Systems
The continued development of computational approaches to many-body ground-state problems in physics and chemistry calls for a consistent way to assess its overall progress. In this work, we introduce a metric of variational accuracy, the V-score, obtained from the variational energy and its variance. We provide an extensive curated dataset of variational calculations of many-body quantum systems, identifying cases where state-of-the-art numerical approaches show limited accuracy and future algorithms or computational platforms, such as quantum computing, could provide improved accuracy. The V-score can be used as a metric to assess the progress of quantum variational methods toward a quantum advantage for ground-state problems, especially in regimes where classical verifiability is impossible.
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Masatoshi Imada, A. Fujimori, Yoshinori Tokura · Reviews of Modern Physics · 1998 · 7.5K citations
Simulating physics with computers
Richard P. Feynman · International Journal of Theoretical Physics · 1982 · 7.5K citations
Quantum supremacy using a programmable superconducting processor
Nature · 2019 · 7K citations · Full text
Computing, Computer Science, Physics +14