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Variational Benchmarks for Quantum Many-Body Problems

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arxiv 2302.04919 v2 pith:VTZ6FKAR submitted 2023-02-09 quant-ph cond-mat.str-elphysics.comp-ph

Variational Benchmarks for Quantum Many-Body Problems

classification quant-ph cond-mat.str-elphysics.comp-ph
keywords quantumvariationalaccuracymany-bodyproblemsapproachesassesscomputational
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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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  1. Applying the Worldvolume Hybrid Monte Carlo method to the Hubbard model away from half filling

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    WV-HMC computes number and energy densities for the doped 2D Hubbard model on 6x6 and 8x8 lattices at U/t=8 and T/t≈0.156, showing effectiveness where standard DQMC fails.