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
The one-stop package for formulating, simulating, and solving problems in boolean and spin form
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.
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
D-Wave annealer; for combinatorial problem (with QUBO) and optimization. Institute Teknologi Bandung. Telkom University
code and documentation for Grover Fixed Point Search circuit for Quadratic Binary Optimization Problems
A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia
Quantum computing experiments via DWave's quantum annealing.
QUBO Instances for benchmarking
A framework for the automatic generation of QUBO formulations for optimization problems.
Some optimization problems modeled on the quadratic unconstrained binary optimization problem.
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