Pinned Repositories
autograd
Efficiently computes derivatives of numpy code.
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
awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
Binary_mul
Optimized Implementation of Quantum Binary Field Multiplication with Toffoli Depth One
bloch_sphere
Visualization tools for the qubit Bloch sphere
Cirq
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
ck-projectq
CK repository for ProjectQ
Computer-Science-Resources
A list of resources in different fields of Computer Science
covalent
Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogenous environments.
cuQuantum
Home for cuQuantum Python & NVIDIA cuQuantum SDK C++ samples
kangle2017's Repositories
kangle2017/awesome-quantum-ml
Curated list of awesome papers and resources in quantum machine learning
kangle2017/dc-qiskit-qml
Quantum Machine Learning algorithms
kangle2017/GithubActionSimple
kangle2017/grove
Quantum algorithms built using pyQuil.
kangle2017/IBM-Quantum-Machine-Learning-2021
Lab work of IBM Quantum Machine Learning 2021
kangle2017/kangle2017
Config files for my GitHub profile.
kangle2017/Machine_Learning_Quantum_State_Tomography
An **unofficial** pytorch implementation of using generative models to do quantum state tomography with POVM measurements.
kangle2017/MLQM
Machine-learning quantum mechanics
kangle2017/Paddle-regular-season_quantum-circuit-synthesis_Third-place-programme-in-March
飞桨常规赛:量子电路合成 3月第3名方案--量桨实现版!
kangle2017/polyadicQML
A python library to define, train and deploy Polyadic Quantum Machine Learning models
kangle2017/QHack2021
Official repo for QHack—the quantum machine learning hackathon
kangle2017/QHack2022
QHack—The one-of-a-kind quantum computing hackathon
kangle2017/qmasm
Quantum macro assembler for D-Wave systems
kangle2017/qml
QML: Quantum Machine Learning
kangle2017/qml-vqa-library
A curated list of recent textbooks, reviews, perspectives, and research papers related to quantum machine learning, variational quantum algorithms, tensor networks, and classical machine learning applications in quantum systems.
kangle2017/qrnn-qiskit-ml
Example of RNN based on Qiskit Machine Learning
kangle2017/qthought
A framework for simulating quantum mechanical thought experiments in projectq
kangle2017/quantum-4
Quantum Computing Basics Using Python projectq
kangle2017/Quantum-circuit-synthesis-by-paddlepaddle
飞桨常规赛:量子电路合成比赛参考思路
kangle2017/quantum-computing-intro
Afternotes on the "Practical introduction to Quantum Computing: from qubits to quantum machine learning and beyond" CERN course
kangle2017/quantum-machine-learning
Source Code for 'Quantum Machine Learning' by Santanu Ganguly
kangle2017/Quantum-Machine-Learning-1
QML algorithms
kangle2017/Quantum-Machine-learning-2
These code can make the result of paper with the IBMQ devices.
kangle2017/Quantum-Machine-Learning-3
Quanvolutional Neural Networks trained on MNIST dataset comparing to a Classical NN , All inspired by Tensorflow Quantum and XanaduAI tutorials.
kangle2017/quantum-machine-learning-python
Source Code for 'Quantum Machine Learning with Python' by Santanu Pattanayak
kangle2017/QuantumAlgorithms
Quantum Algorithms, Quantum Machine Learning, Quantum Cognition, Quantum Walks, Quantum Random Access Memory
kangle2017/QuantumMachineLearning-1
kangle2017/QuSimPy
A Multi-Qubit Ideal Quantum Computer Simulator
kangle2017/qutip-doc
QuTiP documentation
kangle2017/Var-QuantumCircuits-DeepRL
Variational Quantum Circuits for Deep Reinforcement Learning since 2019. Xanadu Quantum Software Competition 1st Prize 2019.