There are 4 repositories under quantum-annealing topic.
Curated list of open-source quantum software projects.
The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
Курс по квантовому машинному обучению
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
Classifying, auto-encoding and reverse-engineering QUBO matrices
Quantum Computing Guide
A variational implementation of classical and quantum annealing using recurrent neural networks for the purpose of solving optimization problems.
Unicorn: Symbolic Execution, Bounded Model Checking, and Code Optimization of RISC-V Code using Classical Solvers and Quantum Computers
Quantum Monte Carlo methods for Ising model
A heuristic approach on how to optimally schedule jobs using D-Wave's quantum computer
Updated and most comprehensive Repository On Quantum Computing Resources. It contains all the material I use for my research on Quantum Computing for Both Theories and Codes - I update it regularly.
Open collaborative book on quadratization in discrete optimization and quantum mechanics.
Codes used for the classical and simulated quantum annealing numerical experiments of https://arxiv.org/abs/2101.10154
A module to perform the statistical unfolding / deconvolution / matrix-inversion problem using quantum annealing with D-Wave quantum computer.
Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.
Examples of using DWave quantum annealing system
Quantum annealing for traveling salesman problem
Parallel Quantum Annealing
Python implementation of Bayesian Network Structure Learning using Quantum Annealing https://doi.org/10.1140/epjst/e2015-02349-9
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.
Quantum-inspired Cluster Expansion: formulating chemical space search as QUBOs and Ising models
Sub-project in the scope of QProgMods grant
QA simulation on SpinGlass model using PIMC method
Open source MaxCut solver
Graph decomposition algorithms for MaxClique and Minimum Vertex Cover problems
Quantum Annealing simulation via Tensor Networks. QIC, University of Padua.