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awesome-quantum-machine-learning icon awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

blog icon blog

Scripts published on my blog

dwave-hybrid icon dwave-hybrid

Hybrid Asynchronous Decomposition Sampler prototype framework.

fisco-bcos-sig icon fisco-bcos-sig

专项兴趣小组(Special Interest Group,简称SIG)信息展示

genetic icon genetic

Genetic algorithm used in feature selection

learning-phases icon learning-phases

Source code for the calculations behind the paper "Machine learning phase transitions with a quantum processor" (arXiv:1906.10155).

machine_learning_and_application_v1 icon machine_learning_and_application_v1

本项目代码为雷明老师18年12月在清华出版社出版的《机器学习与应用》第一版中的配套代码,欢迎登录www.sigai.cn试听雷老师《机器学习》《深度学习》视频

openedge icon openedge

Extend cloud computing, data and service seamlessly to edge devices.

pennylane icon pennylane

PennyLane is a cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations

privacy icon privacy

Library for training machine learning models with privacy for training data

projectq icon projectq

ProjectQ: An open source software framework for quantum computing

qaoa icon qaoa

A Quantum Approximate Optimization Algorithm

qcl icon qcl

Quantum Circuit Learning

qiskit icon qiskit

Qiskit is an open-source framework for working with noisy quantum computers at the level of pulses, circuits, and algorithms.

qiskit-iqx-tutorials icon qiskit-iqx-tutorials

A collection of Jupyter notebooks showing how to use Qiskit that is synced with the IBM Q Experience

quantum-1 icon quantum-1

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-svm icon quantum-svm

Use quantum support vector machine to classify handwritten digits 6 and 9 with QuTip

sparse-evolutionary-artificial-neural-networks icon sparse-evolutionary-artificial-neural-networks

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

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