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adapt-vqe

A python module and example scripts to perform molecular simulationts with the variational quantum eigensolver (VQE)

algorithm_survival_analysis

This repository holds the code for our paper "Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis" by Alexander Tornede, Marcel Wever, Stefan Werner, Felix Mohr and Eyke Hüllermeier.

ascending_cvar

Code for the paper: An evolving objective function for improved variational quantum optimisation. https://arxiv.org/pdf/2105.11766.pdf

attention-learn-to-route

Attention based model for learning to solve different routing problems

cardinality-matching-algo

A maximum cardinality matching algorithm

ci-qube

This is a library of interesting instances to test and benchmark quantum algorithms for combinatorial problems.

cnfgen

CNF generator in DIMACS format. It produces common families of CNFs.

corras

Combined Regression and Ranking for Algorithm Selection

cp-lib

Clique partition instances

d-qrl

deep-learning-course

Deep Learning Course

dijkstra-steiner-algo

Dijkstra-Steiner Algorithm with future costs

discmin

discrepancy minimization lowett meka

efficient-algo-lab

Efficient Algorithms Lab 2018/19

eqgc-experiments

hamiltonian_engine

Generate QAOA circuits with just your objective function!

hardtsplib

image-registration-sinkhorn-divergence

Handwriting deterioration tracker using Sinkhorn divergence

integrality-gap-for-bin-packing

iohexperimenter

Experimentation procedure for Iterative Optimization Heuristics

jax-in-action

Notebooks for the "JAX in Action" book

learning-tsp

Code for the paper 'Learning TSP Requires Rethinking Generalization' (CP 2021)

libcmaes

libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

madam

A parallel exact solver for Max-Cut

make-your-code-count

Create an open-source library in Python for your scientific research.

masters-thesis-ppt

Beamer class presentation for master thesis

max-cut-experiments-spectral-luca-trevisan

Source code for 5 Max Cut algorithms implemented in Julia

maxsat-ising

Ground-state solver for a generalized Ising model, based on MAXSAT and convex optimization, following the algorithm described in Huang et al, "Finding and proving the exact ground state of a generalized Ising model by convex optimization and MAXSAT" Phys. Rev. B 94, 134424 (2016)

miplearn

Framework for solving discrete optimization problems using a combination of Mixed-Integer Linear Programming (MIP) and Machine Learning (ML)

mqlib

Implementations of heuristics for the Max-cut and QUBO problems in C++