Comparing the efficiency of Classical Evolutionary Algorithms vs. Quantum Evolutionary Algorithms
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Updated
Dec 11, 2018 - Python
Comparing the efficiency of Classical Evolutionary Algorithms vs. Quantum Evolutionary Algorithms
Implementation of an algorithm for training Quantum Boltzmann Machine neural networks using variational methods. Based on https://arxiv.org/abs/1712.05304 and their sample code.
Implementing a distance-based classifier with a quantum interference circuit. Based on https://arxiv.org/abs/1703.10793
Implementing a variational algorithm: QCL using pyQuil. Based on: https://arxiv.org/abs/1803.00745 and http://dkopczyk.quantee.co.uk/qcl/
Implementation of stabilizer codes in pyQuil
A collection of quantum algorithms written in two popular quantum programming languages, PyQuil and Qiskit.
Variational Quantum Factoring
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