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dwave-samplers

Classical algorithms for solving binary quadratic models

qubovert

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

qqa

Quasi-Quantum Annealing (QQA): a GPU solver for combinatorial & spin-glass optimisation — PyTorch library + live Streamlit dashboard. ICLR 2025.

vqe-portfolio

Python framework for portfolio optimisation using Variational Quantum Eigensolver (VQE), supporting QUBO formulations, constrained optimisation, and reproducible workflows for hybrid quantum–classical finance experiments.

simulated-bifurcation

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.).

qubify

qubify = make it QUBO — a constraint-to-QUBO compiler for quantum optimization

mqt-qubomaker

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

amplify-bench

Benchmark framework for Quantum and Classical Annealing Machines

tno-quantum-optimization-qubo-solvers

QUBO solvers

tno-quantum-optimization-qubo-components

QUBO components

qubo-nn

Classifying, auto-encoding and reverse-engineering QUBO matrices

tno-quantum-optimization-qubo-postprocessors

Quantum Optimization QUBO Postprocessors module

tno-quantum-problems-mot

Quantum algorithms for multi-object tracking

tno-quantum-optimization-qubo-preprocessors

QUBO preprocessors

tno-quantum-ml-components

Components for machine learning

tno-quantum-ml-clustering-bkmeans

Quantum Balanced K-Means Clustering module