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.
More specifically, at each iteration focusing on direction d, the algorithm proceeds as follows:
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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.