Qubo Python Packages

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

tno-quantum-optimization-qubo-components

Components QUBO optimization

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.).

mqt-qubomaker

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

qqa

Quasi-Quantum Annealing (QQA): a general-purpose GPU solver for combinatorial and spin-glass optimization, with PI-GNN/CPRA and a parallel SA baseline.

amplify-bench

Benchmark framework for Quantum and Classical Annealing Machines

tno-quantum-optimization-qubo-solvers

Solvers QUBO optimization

tno-quantum-ml-components

Machine learning components

tno-quantum-ml-clustering-bkmeans

Quantum K-Medoid clustering

tno-quantum-optimization-qubo-preprocessors

Preprocessor QUBO optimization

tno-quantum-optimization-qubo-postprocessors

Postprocessors QUBO optimization

qubo-nn

QUBO translations for 14 problems. Also: Reverse-engeering and AutoEncoders for QUBOs.

tno-quantum-problems-mot

Quantum algorithms for multi-object tracking

qubify

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