Topic: qaoa Goto Github
Some thing interesting about qaoa
Some thing interesting about qaoa
qaoa,Portfolio Optimization on a Quantum computer.
User: adelshb
qaoa,Solution of the Bin-Packing problem using QAOA and Qiskit optimization library
User: alejomonbar
qaoa,Fixed linear ramp schedules in QAOA constitute a universal set parameters, i.e., a set of γ and β parameters that rapidly approximate the optimal solution, x∗, independently of the COP selected, and that the success probability of finding it, probability(x∗), increases with the number of QAOA layers p.
User: alejomonbar
Home Page: https://arxiv.org/abs/2405.09169
qaoa,Repository for the Software and Computing for Applied Physics Project
User: andreabasiliorava
qaoa,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.
User: aneeshkamat4
qaoa,In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.
User: animeshnanda1
qaoa,Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.
User: animeshnanda1
qaoa,The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.
User: animeshnanda1
qaoa,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..
User: anishrverma
qaoa,
User: arunsehrawat
qaoa,qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks
Organization: aspuru-guzik-group
qaoa,Reproducing results in QAOA (Quantum Approximate Optimization Algorithm).
User: bernwo
qaoa,Solving the Travelling Salesman Problem, with applying the hard constraints using the QAutoencoder
User: bmete7
Home Page: https://qautoencoder.github.io
qaoa,Python package to solve vehicle routing problems using quantum optimization algorithms
User: brunorosendo
Home Page: https://pypi.org/project/vrp-quantum-solver/
qaoa,Quantum algorithms for Portfolio Management.
User: duartefrazao
qaoa,
User: earlold
Home Page: https://qaoa-quantum-js.iot-sdn.space/
qaoa,This repository contains a quantum computing framework implemented in TypeScript.
User: earlold
Home Page: https://docs-quantum-js.iot-sdn.space/
qaoa,Multi-backend SDK for quantum optimisation
Organization: entropicalabs
qaoa,Addressed smart city transportation complexities using quantum-centric supercomputing. Implemented Grover’s, QAOA and Quantum Walk algorithms
User: ilenhanako
qaoa,Some tests with QAOA, VQE, annealers and other procedures for NISQ quantum computers
User: jmiszczak
Home Page: https://miszczak.eu/grants/qprogmods/
qaoa,2024 MindSpore 第六届华为量子计算黑客松
User: kahsolt
qaoa,Quantum computing course project: Implementing Quantum Approximate Optimisation Algorithm (QAOA) for exact cover problem using IBM qiskit
User: kosakhro
qaoa,Compare QAOA and Quantum Annealing using 127 qubit higher order Ising problems
Organization: lanl
qaoa,The Quantum Maxcut Solver is the first webapp that allows anyone to run a quantum machine learning algorithm no-code.
User: laurgao
Home Page: https://maxcut.vercel.app
qaoa,Companion code for the preprint "On the Effects of Small Graph Perturbations in the MaxCut Problem by QAOA" www.arxiv.org/abs/2408.15413
User: leonardolavagna
qaoa,This repository holds implementations of QAOA-specific compilation policies on top of the Qiskit compiler.
User: mahabubul-alam
Home Page: https://mahabubul-alam.github.io/Personal/
qaoa,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
User: marcinplodzien
Home Page: https://setcases6.wordpress.com/
qaoa,Quantum version of the classical Nim game. An automatic opponent allows to game to not be as easy as it seems.
User: mickahell
Home Page: https://games.xtraorbitals.xyz
qaoa,Implementation of Variational Quantum Factoring algorithm.
User: mstechly
qaoa,Implementation for QAOA: MaxCut for weighted graph
User: myentangled
qaoa,Generate QAOA circuits with just your objective function!
Organization: nus-comparch
qaoa,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
User: obliviateandsurrender
qaoa,Algorithms for optimization tasks (operations research)
Organization: openquantumcomputing
qaoa,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.
Organization: openquantumcomputing
qaoa,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.
User: pratha-me
qaoa,Source code for the book "Quantum Computing for Programmers", Cambridge University Press
User: qcc4cp
qaoa,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.
Organization: quco-csam
qaoa,An optimized implementation of the Quantum Approximate Optimization Algorithm (QAOA) with Quimb.
Organization: quicophy
qaoa,QAOA energy landscape exploration.
User: raimelmedina
Home Page: https://raimelmedina.github.io/QAOALandscapes/
qaoa,Optimize QAOA circuits for graph maxcut using tensorflow
Organization: rigetti
qaoa,My reimplementation of the Variational Quantum-Classical Hybrid algorithm, the Quantum Approximate Optimization Algorithm. It features the standard implementation on the Ring of Disagrees Cost Hamiltonian, and my new implementation (called Power Iteration) that utilizes a new cost function. This Quantum Machine Learning Model outperforms QAOA on iterative approaches for multi-layer optimization.
User: sradgowski
qaoa,Simulate Adiabatic Process in Qiskit and similarly use QAOA
User: thyung
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