Adaptive Quantum Simulated Annealing for Bayesian Inference and Estimating Partition Functions

Markov chain Monte Carlo algorithms have important applications in counting problems and in machine learning problems, settings that involve estimating quantities that are difficult to compute exactly. How much can quantum computers speed up classical Markov chain algorithms? In this work we conside...

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