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
May 21, 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.
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
🧬 Tools for Quadratic Unconstrained Binary Optimization models in Julia
JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.
Quantum computing experiments via DWave's quantum annealing.
QUBO Instances for benchmarking
A Julia Ecosystem for Quadratic Unconstrained Binary Optimization
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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