Bias in SMO-VQE can be estimated without extra measurements; a regularization method that mimics error accumulation while preserving unbiased estimates improves performance across system sizes and Hamiltonians.
Endoet al., Optimal parameter configurations for se- quential optimization of the variational quantum eigen- solver, Physical Review Research5, 043136 (2023)
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Bias Analysis and Regularization of Sequential Minimal Optimization in Variational Quantum Eigensolvers
Bias in SMO-VQE can be estimated without extra measurements; a regularization method that mimics error accumulation while preserving unbiased estimates improves performance across system sizes and Hamiltonians.