Demonstration of CUSP algorithm using Cirq
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Updated
Jul 31, 2018 - Python
Demonstration of CUSP algorithm using Cirq
This repository is intended to document my journey from learning the formal science subjects to making meaningful practical and creative contributions (Hopefully)
Quantum Autoencoder Implementation using Forest and OpenFermion
Quantum Tensor Networks and Matrix Product States implemented in Python.
Quantum Machine Learning
Implementation of a quantum neural network using Strawberry Fields and TensorFlow
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
QuantumFlow: A Quantum Algorithms Development Toolkit
Implementing a variational algorithm: QCL using pyQuil. Based on: https://arxiv.org/abs/1803.00745 and http://dkopczyk.quantee.co.uk/qcl/
Credit Risk Identification with Quantum Support Vector Machine (qSVM-Qiskit)
This repository contains the source code used to produce the results presented in the paper "Machine learning method for state preparation and gate synthesis on photonic quantum computers".
This repository contains the source code used to produce the results presented in the paper "Near-deterministic production of universal quantum photonic gates enhanced by machine learning".
repository to research & share the quantum information articles
Quantum Deep Reinforcement Learning Library 🕸🤖
Learn the basics of Quantum
Implementation of Perceptron using quantum gate in Q#
Grupo de leitura sobre aprendizagem de máquina e computação quântica
Quantum Machine Learning using PennyLane
In this project, the problem of quantum states classification is tackled through artificial neural networks.
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