Optimize QAOA circuits for graph maxcut using tensorflow
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Updated
Nov 21, 2018 - Python
Optimize QAOA circuits for graph maxcut using tensorflow
qTorch (Quantum Tensor Contraction Handler) https://arxiv.org/abs/1709.03636 -> for quantum simulation using tensor networks
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
Quantum computational projects using the Cirq framework
Generate QAOA circuits with just your objective function!
Generate QAOA circuits with just your objective function!
Code for the paper "Multistart Methods for Quantum Approximate Optimization"
Quantum computing course project: Implementing Quantum Approximate Optimisation Algorithm (QAOA) for exact cover problem using IBM qiskit
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…
Implementation for QAOA: MaxCut for weighted graph
Repository for the Software and Computing for Applied Physics Project
The Quantum Maxcut Solver is the first webapp that allows anyone to run a quantum machine learning algorithm no-code.
Here we will compare one well-known (ED) and another new method (QAOA) for quantum simulations of many-body physics.
In this repository, I will try to solve a classical Ising model in one dimension with periodic boundary conditions using Qiskit.
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.
The max-cut problem on a random graph with 7 nodes is solved using QAOA, ED, Monte-Carlo, and simulated annealing.
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.
Reproducing results in QAOA (Quantum Approximate Optimization Algorithm).
Quantum algorithms for Portfolio Management.
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