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.).
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Updated
Aug 18, 2024 - Python
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
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
The one-stop package for formulating, simulating, and solving problems in boolean and spin form
A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
🔵 QUBO Annealing & Sampling MOI Interfaces
🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia
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.
Testing a bunch of graph minor embedding heuristics.
🌊 D-Wave Neal Simulated Annealing Interface for JuMP
Minecraft Server Scanner (and Checker)
A script for downloading benchmark instances of the QUBO problem.
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