There are 0 repository under qaoa topic.
Multi-backend SDK for quantum optimisation
Source code for the book "Quantum Computing for Programmers", Cambridge University Press
qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks
Optimize QAOA circuits for graph maxcut using tensorflow
Algorithms for optimization tasks (operations research)
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.
Solving the Travelling Salesman Problem, with applying the hard constraints using the QAutoencoder
Portfolio Optimization on a Quantum computer.
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
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.
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.
Generate QAOA circuits with just your objective function!
Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers
Implementation for QAOA: MaxCut for weighted graph
A portfolio generator developed by QuantYantriki for the QSTH 2022 - a quantum hackathon organized by the Quantum Ecosystems and Technology Council of India (QETCI). It utilizes quantum annealing and quantum approximate optimization algorithms using a feedback-based metaheuristic that incorporates classical optimization tools to improve solutions.
Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.
Quantum version of the classical Nim game. An automatic opponent allows to game to not be as easy as it seems.
In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.
A project making use of the Variational Quantum Eigensolver ( VQE ) and Quantum Approximate Optimization Algorithms ( QAOA ) in qiskit to optimize an endowment portfolio, with weights defined by risk-parity analysis..
Quantum algorithms for Portfolio Management.
Compare QAOA and Quantum Annealing using 127 qubit higher order Ising problems
This repository holds implementations of QAOA-specific compilation policies on top of the Qiskit compiler.
Implementation of Quantum Approximate Thermalization using Qiskit which involves performing approximated simulation of annealing to do Gibbs sampling of the given system. Based on https://arxiv.org/pdf/1712.05304.pdf
Repository for the Software and Computing for Applied Physics Project
Reproducing results in QAOA (Quantum Approximate Optimization Algorithm).
The Quantum Maxcut Solver is the first webapp that allows anyone to run a quantum machine learning algorithm no-code.
Variational Quantum Factoring
Simulate Adiabatic Process in Qiskit and similarly use QAOA
An optimized implementation of the Quantum Approximate Optimization Algorithm (QAOA) with Quimb.
Addressed smart city transportation complexities using quantum-centric supercomputing. Implemented Grover’s, QAOA and Quantum Walk algorithms
Quantum computational projects using the Cirq framework
Code for the paper "Multistart Methods for Quantum Approximate Optimization"