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Contents of README:An implementation of a simulated annealing sampler. A simulated annealing sampler can be used for approximate Boltzmann sampling or heuristic optimization. This implementation approaches the equilibrium distribution by performing updates at a sequence of increasing beta values, beta_schedule, terminating at the target beta. Each spin is updated once in a fixed order per point in the beta_schedule according to a Metropolis- Hastings update. When beta is large the target distribution concentrates, at equilibrium, over ground states of the model. Samples are guaranteed to match the equilibrium for long 'smooth' beta schedules. |
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Parent Directory - README 12-Nov-2022 16:38 637 dwave-neal.SlackBuild 12-Nov-2022 16:38 3.3K dwave-neal.info 22-Dec-2023 02:04 341 slack-desc 12-Nov-2022 16:38 1.0K
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