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.).

JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

Classifying, auto-encoding and reverse-engineering QUBO matrices

The one-stop package for formulating, simulating, and solving problems in boolean and spin form

A Julia Ecosystem for Quadratic Unconstrained Binary Optimization

🟦 JuMP ToQUBO Automatic Reformulation

A framework for the automatic generation of QUBO formulations for optimization problems.

🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia

🔵 QUBO Annealing & Sampling MOI Interfaces

Classical algorithms for solving binary quadratic models

Benchmark framework for quantum annealing machines, Ising machines, and mathematical optimization solvers.

Quantum-Assisted Restricted Boltzmann Machine Framework

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.

QUBO.jl Notebooks

Testing a bunch of graph minor embedding heuristics.

QUBO optimization macrolib

QUBO Instances for benchmarking

MQLib wrapper for JuMP

🌊 D-Wave Neal Simulated Annealing Interface for JuMP