Sampling from the Sherrington-Kirkpatrick Model up to Criticality
Data Structures and Algorithms
Summary
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Authors
Hang Du, Brice Huang, Sidhanth Mohanty, Amit Rajaraman
Abstract
We prove that the simulated annealing algorithm efficiently samples from the Sherrington-Kirkpatrick model at inverse temperature $β< 1$ to an arbitrary inverse polynomial accuracy in total variation.