Multi-backend SDK for quantum optimisation
-
Updated
Aug 29, 2024 - Python
#
qaoa
Here are 48 public repositories matching this topic...
Source code for the book "Quantum Computing for Programmers", Cambridge University Press
python quantum-computing factorization subset-sum qaoa grovers-algorithm max-cut deutsch-jozsa-algorithm shors-algorithm solovay-kitaev bloch-sphere deutsch-algorithm spectral-decomposition quantum-walk phase-estimation-algorithm variational-quantum-eigensolver quantum-fourier-transform quantum-arithmetics
-
Updated
Dec 18, 2024 - C++
Implementation of Variational Quantum Factoring algorithm.
-
Updated
Jun 17, 2023 - Python
qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks
-
Updated
Mar 6, 2019 - C
This package is a flexible python implementation of the Quantum Approximate Optimization Algorithm /Quantum Alternating Operator ansatz (QAOA) aimed at researchers to readily test the performance of a new ansatz, a new classical optimizers, etc.
-
Updated
Dec 3, 2024 - Python
Optimize QAOA circuits for graph maxcut using tensorflow
-
Updated
Nov 21, 2018 - Python
Algorithms for optimization tasks (operations research)
-
Updated
Sep 11, 2023 - Jupyter Notebook
Application of Variational Quantum Eigensolver (VQE) and Quantum Approximate Optimisation Algorithm (QAOA) to the Travelling Salesman Problem (TSP) and the Quadratic Assignment Problem (QAP) using Qiskit on IBM's quantum devices.
-
Updated
Sep 1, 2021 - Jupyter Notebook
Portfolio Optimization on a Quantum computer.
quantum-computing portfolio-optimization cvxpy gekko quantum-algorithms modern-portfolio-theory qiskit markowitz-portfolio qaoa markowitz vqe quantum-finance variational-quantum-eigensolver markowitz-model
-
Updated
Apr 15, 2022 - Python
Solving the Travelling Salesman Problem, with applying the hard constraints using the QAutoencoder
-
Updated
May 11, 2022 - Python
QAOA is one of the flavors of VQA, and it is considered to assert so-called "Quantum Supremacy". I have implemented a Quantum circuit to solve Max-Cut problem. I have written a report of my work.
-
Updated
Oct 19, 2021 - Jupyter Notebook
This repository contains a quantum computing framework implemented in TypeScript.
-
Updated
Sep 13, 2024 - TypeScript
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
machine-learning pytorch quantum-computing quantum-gates quantum-machine-learning qaoa vqe variational-quantum-eigensolver quantum-approximate-optimization-algorithm
-
Updated
Apr 18, 2023 - Jupyter Notebook
Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers
-
Updated
Dec 13, 2024 - Mathematica
Implementation for QAOA: MaxCut for weighted graph
-
Updated
Feb 13, 2021 - Jupyter Notebook
Compare QAOA and Quantum Annealing using 127 qubit higher order Ising problems
-
Updated
Jun 6, 2024 - HTML
Generate QAOA circuits with just your objective function!
-
Updated
Jun 12, 2020 - Python
Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.
-
Updated
Jun 8, 2021 - Jupyter Notebook
In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.
-
Updated
Jun 15, 2021 - Jupyter Notebook
Improve this page
Add a description, image, and links to the qaoa topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the qaoa topic, visit your repo's landing page and select "manage topics."