awesome-quantum-computing/README.md

Awesome Quantum Computing

A curated list of awesome quantum computing learning and developing resources. The goal is to build a categorised community-driven collection of up to date, high quality resources.

Sharing, suggestions and contributions are always welcome! Please take a look at the contribution guidelines and quality standard first. Thanks to all contributors, you're awesome and it wouldn't be possible without you!

Contents

• Learning
• MOOCS
• Development Tools
• Blogs
• Books
• Papers
• Community

Learning

• Documentation for Forest and pyQuil - Tutorials for Rigetti Computing's SDK.
• IBM Q Full User Guide - Short tutorials providing a gentle introduction to quantum computing and IBM Q.
• John Preskill's Notes on Quantum Computation - Notes of Caltech's Quantum Computation Course Physics 219/Computer Science 219 by John Preskill.
• Nielsen and Chuang - Worked examples on quantum algorithm problems.
• QISKit Tutorials - Jupyter notebooks simply demonstrating how to use QISKit.
• Quantum Algorithm Zoo - Comprehensive catalog of quantum algorithms.
• Quantum Computing Playground - 3D quantum state visualisation tool able to simulate up to 22 qubits.
• Quantum in the Cloud - Four qubit photonic quantum simulator and computer.
• Quantum Katas - Programming exercises for learning quantum computing and Q#.
• Quantum Machine Learning for Data Scientists - Explanation of quantum machine learning algorithms.
• Quirk - Browser-based drag-and-drop quantum circuit simulator that reacts, simulates, and animates in real-time.

MOOCs

• MIT Quantum Information Sciences - Series of lecture notes on the MIT quantum information sciences course.
• Quantum Cryptography - Learn how quantum communication provides security that is guaranteed by the laws of nature.
• Quantum Information Science I, Part I - Foundational course on quantum information and computation.
• The Quantum Internet and Quantum Computers: How Will They Change the World? - Learn the principles and promises behind developments in quantum computers and quantum internet and how they will impact our future.
• Quantum Mechanics and Quantum Computation - Conceptual introduction to the fundamental principles of quantum mechanics.
• Understanding Quantum Computers - Introduction to the key concepts of quantum computing with minimal mathematics.

Development Tools

• Cirq - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
• IBM Quantum Composer - Online quantum composer to run experiments on real quantum computing hardware.
• Microsoft Quantum Development Kit - Microsoft Q# programming language.
• Project Q - Framework for implementing quantum computing in Python.
• pyQuil - Python library for quantum programming using Quil.
• QCL - Older, C like language for quantum computers. Only has a simulator and debugger.
• QISKit SDK - Software development kit for working with OpenQASM and the IBM Q Experience.
• Qrack - High performance GPL-licensed C++ quantum simulator library, documentation, and test code.
• Quipper - Embedded, scalable, functional programming language for quantum computing.
• QuTiP - Quantum toolbox in Python for simulating dynamics of open quantum systems.

Blogs

• Algorithmic Assertions - About quantum computing and computing in general by Craig Gidney - a member of Google Quantum Computing Team.
• Bits of Quantum - By the QuTech institution, sharing their research and daily life.
• Decodoku - Interesting posts on quantum computation, by James Wootton.
• Quantum Frontiers - By the Quantum Institute for Quantum Information and Matter, sharing behind the scenes research insights.
• Quantum Weekly - A weekly correlation of all things quantum - computing, cryptography, entanglement.

Books

• Quantum Computation and Quantum Information - Comprehensive textbook for those with some prior knowledge in mathematics, computer science and physics.
• Quantum Computing for Computer Scientists - Quantum computing explained using an approach that is accessible to undergraduate computer science students.

Papers

• Opportunities and Challenges for Quantum Machine Learning - Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.
• Quantum Machine Learning - Quantum machine learning and what quantum computing means to data mining.

Community

• IBM Q Community - IBM Quantum experience Community Forum.
• IBM Q QISKit Community - Slack Channel for QISKit and quantum computing discussions.
• Quantum Computing StackExchange - question and answer site for quantum computing.
• Quantum Information and Quantum Computer Scientists of the World Unite - Facebook group for quantum research discussion.
• Rigetti Community - Slack Channel for Rigetti and quantum computing discussions.

License

To the extent possible under law, Desiree Vogt-Lee has waived all copyright and related or neighboring rights to this work.