Python CPU/GPU implementation of the Simulated Bifurcation (SB) algorithm to solve quadratic optimization problems (QUBO, Ising, TSP, optimal asset allocations for a portfolio, etc.).
Classifying, auto-encoding and reverse-engineering QUBO matrices
The one-stop package for formulating, simulating, and solving problems in boolean and spin form
A framework for the automatic generation of QUBO formulations for optimization problems.
Solves systems of ordinary first-order nonlinear differential equations by reformulating them in terms of Quadratic Unconstrained Binary Optimization (QUBO) problems, which allows to obtain solution on quantum annealers. Contains example application to molecular dynamics.
Algorithms for solving circuit-fault-diagnosis problems
A script for downloading benchmark instances of the QUBO problem.
Quantum computing experiments via DWave's quantum annealing.
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