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.