A neural-network variational sampler with an evolutionary flip-and-select operator is proposed for spin models, but its theoretical upper-bound proof assumes uniform random candidates and does not apply to the actual sampling process.
Krauth, Statistical mechanics: algorithms and com- putations, Oxford master series in physics No
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Variational Evolutionary Network for Statistical Physics Systems
A neural-network variational sampler with an evolutionary flip-and-select operator is proposed for spin models, but its theoretical upper-bound proof assumes uniform random candidates and does not apply to the actual sampling process.