Genetic algorithm solver to maxcut problem
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Updated
Jun 11, 2018 - C
Genetic algorithm solver to maxcut problem
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
Contains my Computational Complexity course work at MIPT
MaxCut SS
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.
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.
A reinforcement learning based solver for combinatorial problems
Quantum computing experiments via DWave's quantum annealing.
Graph extension of bandlimited selected spectrum.
A quantum algorithm for the maximum cut problem in arbitrary graphs. Implementation using Qiskit.
Open source MaxCut solver
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.
Implementation of a new Quantum Oracle for solving the Max-Cut Problem with Grover Search Algorithm
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