An NSF Expeditions Project
cim-optimizer is an open-source implementation of a simulator of the Coherent Ising Machine. It may be useful both as a tool for researchers interested in making predictions about the performance of different variants of the CIM, and as a heuristic optimizer of Ising problems in its own right.
PySA is a python interface to an HPC-optimized parallel tempering, annealed importance sampling and path-integral monte carlo implementation to solve dense Ising optimization problems.
stochastic-benchmark is a python package to produce a set of plots that inform the performance of parameterized stochastic optimization solvers when addressing a well-established family of optimization problems.