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/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
kangle2017/q.js
Quantum computing in your browser.
kangle2017/QMLA
Python framework for the reverse engineering of Hamiltonian models of quantum systems through machine learning.
kangle2017/quantum-neural-networks
This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks". Due to subsequent interface upgrades, these scripts will work only with Strawberry Fields version <= 0.10.0.
kangle2017/qutip-tensorflow
TensorFlow linear-algebra backend for QuTiP
kangle2017/jet
Jet is a cross-platform library for simulating quantum circuits using tensor network contractions.
kangle2017/quantum-3
Tensor-Based Quantum Machine Learning
kangle2017/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
kangle2017/QC-CNN
Quantum-classical hybrid convolutional neural network for classical image classification
kangle2017/quantum-computing
Qsim, Qckt -- A functionally complete simulator for Universal Quantum Computer in Python. Qckt for developing quantum computation based realistic programs using quantum circuits, Qsim as backend to execute quantum computation part of the overall program logic. A great learning resource. See more details below and full documentation in qckt-doc.txt
kangle2017/QPanda-2
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
kangle2017/bloch_sphere
Visualization tools for the qubit Bloch sphere
kangle2017/feynman_path
Visualization tool for the Feynman Path Integral applied to quantum circuits
kangle2017/Quantum-Computing-Collection-Of-Resources
A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21
kangle2017/Learn-Quantum-Computing-with-Python-and-IBM-Quantum-Experience
Learn Quantum Computing with Python and IBM Quantum Experience, published by Packt
kangle2017/Quirk
A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.
kangle2017/pyqml
Quantum Machine Learning
kangle2017/QComputeSDK-TS
QComputeSDK-TypeScript is the TypeScript version of QCompute, the quantum development kit of Quantum Leaf ( https://quantum-hub.baidu.com ).
kangle2017/Binary_mul
Optimized Implementation of Quantum Binary Field Multiplication with Toffoli Depth One
kangle2017/quantum-tensors
Quantum Tensors - NPM package for sparse matrix operations for quantum information and computing
kangle2017/rust-cpython
Rust <-> Python bindings
kangle2017/QuantumComputing
This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.
kangle2017/qmsolve
⚛️ A module for solving and visualizing the Schrödinger equation.
kangle2017/machine-learning-for-physical-sciences
AI assisted Quantum technologies
kangle2017/quantum-algorithms-tutorials
Tutorials for Quantum Algorithms with Qiskit implementations.
kangle2017/Q
My attempt at researching Quantum Mechanics & Quantum Computing when I was a junior.
kangle2017/QuantumComputingExamples
Quantum computing examples with QISKit.
kangle2017/qtcodes
Qiskit Topological Codes
kangle2017/Improving-Machine-Learning-and-Deep-Learning-techniques-using-Quantum-Computers
Stefano Biondi M.Sc. Thesis in Data Science Repository
kangle2017/Quantum_Machine_Learning_Express
This project is one of the Qiskit mentorship programs to replicate two papers arXiv:1905.10876 and arXiv:2003.09887 using the Qiskit environment. We evaluate the parameterized quantum circuit, reproduce the expressibility and entangling capability of the 19 circuits, and the classification accuracy.