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/Cirq
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
kangle2017/covalent
Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogenous environments.
kangle2017/monthly-challenges
Repository containing monthly challenges in the field of quantum computing.
kangle2017/netket
Machine learning algorithms for many-body quantum systems
kangle2017/OpenFermion
The electronic structure package for quantum computers.
kangle2017/openqasm
Quantum assembly language for extended quantum circuits
kangle2017/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
kangle2017/PaddleNLP
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.
kangle2017/pennylane-qulacs
The PennyLane-Qulacs plugin integrates the Qulacs quantum computing framework with PennyLane's quantum machine learning capabilities.
kangle2017/practical-quantum-computing
Source Code for 'Practical Quantum Computing for Developers' by Vladimir Silva
kangle2017/ProjectQ
ProjectQ: An open source software framework for quantum computing
kangle2017/prototype-quantum-kernel-training
Toolkit for training quantum kernels in machine learning applications
kangle2017/pyquil
A Python library for quantum programming using Quil.
kangle2017/pyscf
Python module for quantum chemistry
kangle2017/Python
All Algorithms implemented in Python
kangle2017/QCompute
QCompute is a Python-based quantum software development kit (SDK). It provides a full-stack programming experience for advanced users via hybrid quantum programming language features and a high-performance simulator.
kangle2017/qiskit-machine-learning
Quantum Machine Learning
kangle2017/qiskit-nature
Qiskit Nature is an open-source, quantum computing, framework for solving quantum mechanical natural science problems.
kangle2017/qiskit-terra
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and algorithms.
kangle2017/qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
kangle2017/qlearnkit
A python library for quantum machine learning and quantum deep learning, built on top of qiskit and pennylane
kangle2017/Quantum
Microsoft Quantum Development Kit Samples
kangle2017/quantum-1
Hybrid Quantum-Classical Machine Learning in TensorFlow
kangle2017/QuantumComputingMachineLearning
kangle2017/quantuminspire
Quantum Inspire SDK
kangle2017/QuantumLibraries
Q# libraries for the Quantum Development Kit
kangle2017/qupulse
Quantum Computing Toolkit for Qubit Control
kangle2017/qutip
QuTiP: Quantum Toolbox in Python
kangle2017/torchquantum
A PyTorch-based framework for Quantum Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
kangle2017/vqf
Implementation of Variational Quantum Factoring algorithm.