This is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"
OSCAR: configure and debug variational quantum algorithms efficiently
Lectures on hybrid quantum-classical machine learning given during "VI Pyrenees Winter School Quantum Information Meeting for Barcelona's Community" on 14-17.02.2023, Setcases, Spain
A Python software library dedicated to Engineering Optimization with Quantum Algorithms.
Exploratory project deploying small-scale optimization problems to Amazon Braket using quantum backends. Compares classical and quantum solutions to introduce hybrid modeling and infrastructure-as-code principles.
Simulate the Quantum Approximate Optimization Algorithm (QAOA) on a classical computer.
Code to train deep learning models which learn to predict angles for quantum approximate optimization
Comparison of genetic quantum algorithm and quantum approximate optimization algorithm for quadratic unconstrained binary optimization problems.
Bachelor Thesis : Quantum algorithms for machine learning applications
This repository is a personal collection of projects in Quantum Computing, combining theoretical study and practical implementation
To associate your repository with the quantum-approximate-optimization-algorithm topic, visit your repo's landing page and select "manage topics."