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Quantum Computing
Created by Richard Feynman and Yuri Manin
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Physics计算机科学
Quantum computing is a field of computing that uses quantum phenomena such as superposition and entanglement to perform operations on data. It is a rapidly growing field with potential applications in fields such as cryptography, chemistry, and optimization. Quantum computers can solve certain problems much faster than classical computers. Various programming languages such as Q#, Python and C++ can be used to write quantum algorithms to be run on quantum computers. The development of quantum computers is an active area of research and engineering.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Microsoft Quantum Development Kit Samples
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of awesome quantum computing learning and developing resources.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
An open-source Python framework for hybrid quantum-classical machine learning.
QuTiP: Quantum Toolbox in Python
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
🦄 The Enterprise™ programming language
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
⚛️ A module for solving and visualizing the Schrödinger equation.
Companion site for the textbook Quantum Computing: An Applied Approach
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas
Q# compiler, command line tool, and Q# language server