A general purpose library to study vibrational problems using diffusion monte carlo

Utilities and interfaces for using penalty models.

Python DSL for constructing QUBOs from mathematical expressions.

D-Wave Systems extension of the NetworkX Python package for graphs and graph algorithms.

Companion site for the textbook Quantum Computing: An Applied Approach

Free and Open Source Enterprise Resource Planning (ERP)

Apache OFBiz is an open source product for the automation of enterprise processes. It includes framework components and business applications for ERP, CRM, E-Business/E-Commerce, Supply Chain Manag…

Quantum Integer Programming Syllabus

Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids.

Implementation of previous job-shop scheduling theses

Coherent Ising Machine implementation, simulation, Python codes for MC simulation

FPGA accelerated Path Integral Monte Carlo. Project for computational physics.

This is a program to solve the job shop scheduling problem by using the parallel genetic algorithm

Gurobi modeling examples

Reinforcement learning approach for job shop scheduling

References on Optimal Control, Reinforcement Learning and Motion Planning

Sawatabi is an application framework to develop and run stream-data-oriented Ising applications with quantum annealing.

GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba

Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems

Research project at Group W using D-Wave quantum computing to solve the Quadratic Assignment Problem and Traveling Salesman Problem.

Simulating Sycamore quantum circuits classically using tensor network algorithm.

A Quantum circuit simulator based on Restricted Boltzmann Machines.

Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times

Quantum Monte Carlo methods for Ising model

The Parallel Adaptive Large Neighborhood Search is an algorithm to solve optimazation problems. You only need to implement destroy and repair methods and the mathmatical model and let the framework…

Samples for using optimization solvers through Azure Quantum.