Results for "quantum-approximate-optimization-algorithm"
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OpenQuantumComputing / QAOAThis 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.
qiskit-community / Qopt Best PracticesA collection of guidelines to run quantum optimization algorithms on superconducting qubits with Qiskit, using as reference the Quantum Approximate Optimization Algorithm (QAOA) workflow.
givgramacho / CERN Quantum Computing CourseQuantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB84, quantum teleportation, superdense coding...) as well as those that require multi-qubit systems (Deutsch-Jozsa, Grover, Shor..). We will also cover some of the most recent applications of quantum computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (for instance, through the use of quantum support vector machines and quantum variational classifiers). We will also give examples of how these techniques can be used in chemistry simulations and high energy physics problems. The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point of view, only a good command of basic linear algebra is assumed. Some familiarity with the python programming language would be helpful, but is not required either.
GiggleLiu / QAOAA Quantum Approximate Optimization Algorithm
sherrylixuecheng / EMQAOA DARBOThis is the github repo to support the manuscript "Quantum approximate optimization via learning-based adaptive optimization"
Wikstahl / MatlabQAOASimulating the quantum approximate optimization algorithm with Matlab
PsiAlgorithms / TSP QAOAThis repository contains the implementation of the Traveling Salesman Problem with Quantum Approximate Optimization Algorithm.
Kaustuvi / Bohr Cirq QaoaImplementation of Quantum Approximate Optimization Algorithm (QAOA) to solve the MAXCUT problem in Google Cirq framework.
QUEST-UWMadison / OSCAROSCAR: configure and debug variational quantum algorithms efficiently
laurgao / Qaoa Weighted MaxcutI generalized the quantum approximate optimization algorithm to solve the maxcut problem for weighted graphs. Implemented in Pennylane and Cirq.
GaidaiIgor / MA QAOAImplementation of Quantum Approximate Optimization Algorithm (QAOA) and Multi-Angle QAOA
lytzV / QAOAQuantum Approximate Optimization Algorithm
danielhenry1 / QAOA TSPImplementation of the Traveling Salesman Problem Using the Quantum Approximate Optimization Algorithm (QAOA)
danlkv / Fixed Angle QAOAThe fixed angle conjecture for the quantum approximate optimization algorithm onregular MaxCut graphs
anishrverma / Hybrid Quantum Endowment Portfolio OptimizationA 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..
EigenSolver / QAOA TSPResearch on Quantum Approximate Optimization Algorithm on Travelling Salesman Problem
NingyiXie / Parameter To Parameter Convolutional Neural NetworkThis repository is implementation of the "Quantum Approximate Optimization Algorithm Parameter Prediction Using a Convolutional Neural Network"
Yunlong350 / Ab QAOAThe source codes for ab-QAOA for "Solution of SAT Problems with the Adaptive-Bias Quantum Approximate Optimization Algorithm" arXiv:2210.02822.
MarcinPlodzien / Quantum Machine Learning IntroductionLectures 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