Quantum computing utilises quantum mechanical phenomenon such as entanglement and superposition to manipulate qubits to perform computation on a quantum computer. Currently available are tools to create and run programs on publicly usable quantum computers as well as resources to learn about them.

This is a curated list of up-to-date resources on learning about and developing on quantum computers. 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!

For further resources related to Open Source Quantum Software Projects, please check out qosf's repo.

- An Interactive Introduction to Quantum Computing - Interactive learning for quantum gate computing by David Kemp.
- CNOT - Easy to understand, step by step introduction to quantum computing concepts.
- Documentation for Forest and pyQuil - Tutorials for Rigetti Computing's SDK.
- Documentation for Strawberry Fields - Background information on the photonic continuous-variable approach to quantum computation, as well as tutorials for Xanadu’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 Computer Programming - Hands on Stanford course teaching quantum computing to those without a quantum mechanical background.
- Quantum Computing Playground - 3D quantum state visualisation tool able to simulate up to 22 qubits.
- Quantum computing for the very curious - Essay introducing quantum computing by Michael Nielsen and Andy Matuschak.
- 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.
- The Quantum Quest - Introductory web class on quantum computing principles designed for high school students.

- MIT Quantum Information Sciences - Series of lecture notes on the MIT quantum information sciences course.
- QC101 Quantum Computing & Quantum Physics for Beginners - Introductory course on quantum cryptography and how to run quantum programs.
- 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 Machine Learning - Learn about the benefits quantum technologies can provide to machine learning.
- 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.

- 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.
- NISQAI - Library for performing quantum artificial intelligence on near-term quantum computers.
- 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.
- Qiskit.js - Qiskit for JavaScript.
- Qrack - High performance LGPL-licensed C++ quantum simulator library, documentation, and test code.
- Quantum Programming Studio - Web based quantum programming IDE and simulator.
- Quipper - Embedded, scalable, functional programming language for quantum computing.
- Qurry - Quantum probabilistic programming language based on functional and probabilistic paradigms.
- QuTiP - Quantum toolbox in Python for simulating dynamics of open quantum systems.
- Q# - Microsoft quantum development kit and Q# programming language.

- 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.
- Dawid Kopczyk - Quantum algorithms explained to data scientists with visualisations.
- 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.

- Classical and Quantum Computation - Introduction to fundamentals of classical and quantum computing.
- Learn Quantum Computing with Python and Q# - Introduces quantum computing using Python and Q#, Microsoft's new language for quantum programming.
- Problems and Solutions in Quantum Computing - Easy to advanced quantum computing and information problems with detailed solutions.
- Quantum Computation and Quantum Information - Comprehensive textbook for those with some prior knowledge in mathematics, computer science and physics.
- Quantum Computing: A Gentle Introduction - Explains quantum computing with only basic college maths knowledge needed.
- Quantum Computing Explained - Conversational approach to explaining quantum computing with worked solutions.
- Quantum Computing for Computer Scientists - Quantum computing explained using an approach accessible to undergraduate computer science students.
- Quantum Computing for Java Developers - Explains quantum computing through the lens of its practical implementation.

- 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.

- Introduction to Quantum Programming - The why and how of quantum programming with a focus on the Python Forest SDK from Rigetti.
- Quantum Computing for Computer Scientists - Microsoft Research Talk on introductory quantum computing for computer scientists. Duration: 1 hour, 28 minutes.
- Quantum Computing for the Determined - A series of lectures on quantum computing basics by Michael Nielsen.
- Quantum Computation and Information at CMU - A series of lectures on quantum computing by Professor O'Donnell at CMU

- D-Wave Leap Community - D-Wave System's Leap Community Forum.
- IBM Q Community - IBM Quantum experience Community Forum.
- IBM Q Qiskit Community - Slack Channel for Qiskit and quantum computing discussions.
- Mike & Ike Subreddit - Discussion about the book Quantum Computation and Quantum Information.
- Pennylane Discussion Forum - Discussion forum for quantum machine learning, both using simulations and on near term hardware.
- 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.
- Strawberry Fields Community - Slack channel for Xanadu and Strawberry Fields photonic/CV quantum computing discussions.
- Quantum Computing Slack Community - Slack channels for discussion of quantum computing.
- Q# Community - Community contributed libraries, projects, and demos for the Q# language.

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