A framework for the automatic generation of QUBO formulations for optimization problems.
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Updated
Aug 16, 2024 - Python
A framework for the automatic generation of QUBO formulations for optimization problems.
a prototype dashboard interface for the EV management via traffic and battery SoC, SoH optimisation
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.).
A QUBO reformulation tool for Integer Problems which can be invoked within GAMS environment through the use of $batinclude. Refer to the README for more information.
The one-stop package for formulating, simulating, and solving problems in boolean and spin form
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Digital Annealer written in C/C++, supports SA & SQA.
🌊 D-Wave Neal Simulated Annealing Interface for JuMP
QUBO Instances for benchmarking
Quadratic Unconstrained Binary Optimization (QUBO) technique to map quantum circuits to multiple quantum cores. [MSc thesis]
Quantum computing experiments via DWave's quantum annealing.
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