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.
List of Computer Science courses with video lectures.
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 running Noisy Intermediate-Scale Quantum (NISQ) circuits.
Tutorials and programming exercises for learning Q# and quantum computing
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
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
A curated list of awesome quantum computing learning and developing resources.
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Collection of resources spanning key areas of Computer Science
A collection of Jupyter notebooks showing how to use the Qiskit SDK
An open-source Python framework for hybrid quantum-classical machine learning.
Curated list of open-source quantum software projects.
QuTiP: Quantum Toolbox in Python
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
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.
A Python library for quantum programming using Quil.
Quantum assembly language for extended quantum circuits
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
Created by Richard Feynman and Yuri Manin
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