A 372-instance numerical benchmark of VQE for Fermi-Hubbard finds Momentum and Adam with finite differences achieve the best accuracy, while SPSA and CMAES minimize function calls.
Variational quantum algorithms
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Benchmarking a wide range of optimisers for solving the Fermi-Hubbard model using the variational quantum eigensolver
A 372-instance numerical benchmark of VQE for Fermi-Hubbard finds Momentum and Adam with finite differences achieve the best accuracy, while SPSA and CMAES minimize function calls.