# Awesome Quantum Computing [![Awesome](https://awesome.re/badge.svg)](https://awesome.re) [](https://en.wikipedia.org/wiki/Quantum_computing) [Quantum computing](https://en.wikipedia.org/wiki/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! ## Contents - [Learning](#learning) - [MOOCs](#moocs) - [Development Tools](#development-tools) - [Blogs](#blogs) - [Books](#books) - [Videos](#videos) - [Community](#community) - [Podcasts](#podcasts) For further resources related to Open Source Quantum Software Projects, please check out qosf's [repo](https://github.com/qosf/os_quantum_software). ## Learning - [An Interactive Introduction to Quantum Computing](https://davidbkemp.github.io/QuantumComputingArticle/) - Interactive learning for quantum gate computing by David Kemp. - [CNOT](https://cnot.io/) - Easy to understand, step by step introduction to quantum computing concepts. - [Chris Ferrie](https://csferrie.medium.com/) - Univeristy Professor in Sydney, Australia, author of Quantum Computing for babies (and many more) as well as excellent Quantum Computing lectures on Medium. - [Documentation for Forest and pyQuil](http://pyquil.readthedocs.io/en/latest/) - Tutorials for Rigetti Computing's SDK. - [Documentation for Strawberry Fields](https://strawberryfields.readthedocs.io/en/latest/) - Background information on the photonic continuous-variable approach to quantum computation, as well as tutorials for Xanadu’s SDK. - [D-Wave Leap](https://www.dwavesys.com/take-leap) - Demos and educational resources as well as access to D-Wave's quantum computer. - [IBM Q Full User Guide](https://quantumexperience.ng.bluemix.net/qx/tutorial?sectionId=full-user-guide&page=introduction) - Short tutorials providing a gentle introduction to quantum computing and IBM Q. - [Introduction to Quantum Computing](https://home.cern/news/announcement/computing/online-introductory-lectures-quantum-computing-6-november) - Online introductory lectures on quantum computing by CERN (European Organization for Nuclear Research). - [John Preskill's Notes on Quantum Computation](http://www.theory.caltech.edu/~preskill/ph219/index.html#lecture) - Notes of Caltech's Quantum Computation Course Physics 219/Computer Science 219 by John Preskill. - [Nielsen and Chuang](https://workedproblems.wordpress.com/category/nielsenchuang/) - Worked examples on quantum algorithm problems. - [Qiskit Tutorials](https://github.com/Qiskit/qiskit-tutorial) - Jupyter notebooks simply demonstrating how to use Qiskit. - [Quantum Algorithm Implementations for Beginners](https://arxiv.org/pdf/1804.03719.pdf) - A brif survey of 20 different quantum algorithms using qiskit. - [Quantum Algorithm Zoo](http://math.nist.gov/quantum/zoo/) - Comprehensive catalog of quantum algorithms. - [Quantum Algorithms](https://quantumalgorithms.org/) - Open-source set of lectures notes on quantum algorithms, with a focus on machine learning and data analysis. - [Quantum Computer Programming](https://cs269q.stanford.edu/syllabus.html?fbclid=IwAR09_JNstMi4WVU4oMHDpWR6xWaSISlrYPjWTUTnhcRdEQhzpoOTRgQN8LI) - Hands on Stanford course teaching quantum computing to those without a quantum mechanical background. - [Quantum Computing Foundations](https://docs.microsoft.com/en-us/learn/paths/quantum-computing-fundamentals/) - Microsoft Learn learning path covering Azure Quantum and elements of quantum computing. - [Quantum Computing Playground](http://www.quantumplayground.net/#/home) - 3D quantum state visualisation tool able to simulate up to 22 qubits. - [Quantum Computing UK](https://quantumcomputinguk.org/) - Free Qiskit tutorials and code repository. - [Quantum Computing for the Very Curious](https://quantum.country/qcvc) - Essay introducing quantum computing by Michael Nielsen and Andy Matuschak. - [Quantum Inspire Knowledge Base](https://www.quantum-inspire.com/kbase/introduction-to-quantum-computing) - Easy to read knowledge base, rich of basic Quantum Computing concepts. - [Quantum in the Cloud](http://cnotmz.appspot.com/#) - Four qubit photonic quantum simulator and computer. - [Quantum Katas](https://github.com/Microsoft/QuantumKatas/) - Programming exercises for learning quantum computing and Q#. - [Quantum Machine Learning for Data Scientists](https://arxiv.org/pdf/1804.10068.pdf) - Explanation of quantum machine learning algorithms. - [Quirk](http://algassert.com/quirk) - Browser-based drag-and-drop quantum circuit simulator that reacts, simulates, and animates in real-time. - [QWorld's Bronze-Qiskit](https://gitlab.com/qworld/bronze-qiskit) - Very accessible computation/programming oriented tutorials. It begins from basics of matrices up to grover's algorithm. There are also accompanying videos which explain the tutorials. - [The Quantum Quest](https://www.quantum-quest.nl/) - Introductory web class on quantum computing principles designed for high school students. ## MOOCs - [Brilliant.org Quantum Computing](https://brilliant.org/courses/quantum-computing/) - Explanations through problems. Curated along with Microsoft and Alphabet X. - [MIT Quantum Information Sciences](https://ocw.mit.edu/courses/media-arts-and-sciences/mas-865j-quantum-information-science-spring-2006/lecture-notes/) - Series of lecture notes on the MIT quantum information sciences course. - [Programming a Quantum Computer with Qiskit](https://www.coursera.org/projects/programming-quantum-computer-qiskit) - 2-hour guided course focusing on learning how to code for a Quantum Computer leveraging Qiskit. - [QC101 Quantum Computing & Quantum Physics for Beginners](https://www.udemy.com/qc101-introduction-to-quantum-computing-quantum-physics-for-beginners/) - Introductory course on quantum cryptography and how to run quantum programs. - [Quantum Computing: Theory to Simulation and Programming](https://www.udemy.com/course/quantum-computing/) - Understanding the D-Wave Quantum Annealer architecture along with a few practical tasks. - [Quantum Cryptography](https://www.edx.org/course/quantum-cryptography-caltechx-delftx-qucryptox-0) - Learn how quantum communication provides security that is guaranteed by the laws of nature. - [Quantum Information Science I, Part I](https://www.edx.org/course/quantum-information-science-i) - Foundational course on quantum information and computation. - [Quantum Machine Learning](https://www.edx.org/course/quantum-machine-learning) - Learn about the benefits quantum technologies can provide to machine learning. - [Quantum Mechanics and Quantum Computation](https://www.edx.org/course/quantum-mechanics-quantum-computation-uc-berkeleyx-cs-191x) - Conceptual introduction to the fundamental principles of quantum mechanics. - [The Introduction To Quantum Computing](https://www.coursera.org/learn/quantum-computing-algorithms) - A subtle introduction to computation, the math behind it and its quantum counterparts followed by in-depth discussion of a few quantum algorithms. - [Quantum Computing. Less Formulas - More Understanding](https://www.coursera.org/learn/quantum-computing-lfmu) - Same professor of the previous course, this time more focused on quantum concepts rather than math. - [The Quantum Internet and Quantum Computers: How Will They Change the World?](https://www.edx.org/course/quantum-internet-quantum-computers-how-delftx-qtm1x) - Learn the principles and promises behind developments in quantum computers and quantum internet and how they will impact our future. - [Understanding Quantum Computers](https://www.futurelearn.com/courses/intro-to-quantum-computing) - Introduction to the key concepts of quantum computing with minimal mathematics. ## Development Tools - [Amazon Braket](https://aws.amazon.com/braket/) - Fully managed service providing a development environment to run quantum circuits on quantum simulators and computers. - [Blueqat](https://github.com/Blueqat/Blueqat) - Software development kit in Python for quantum gate computing. - [Cirq](https://github.com/quantumlib/Cirq) - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers. - [IBM Quantum Experience](https://quantum-computing.ibm.com) - Online quantum composer to run experiments on real quantum computing hardware. - [Mitiq](https://mitiq.readthedocs.io/) - Python toolkit for implementing error mitigation techniques on quantum computers. - [NISQAI](https://github.com/quantumai-lib/nisqai) - Library for performing quantum artificial intelligence on near-term quantum computers. - [Ocean](https://docs.ocean.dwavesys.com/en/latest/overview/install.html) - D-Wave's SDK for developing on their quantum computers using Python. - [Orquestra](https://www.zapatacomputing.com/orquestra/) - Zapata Computing's unified quantum operating environment, allowing for quantum-enabled workflows. - [Paddle Quantum](https://github.com/PaddlePaddle/Quantum) - Baidu's python toolkit for quantum machine learning. - [PennyLane](http://github.com/XanaduAI/pennylane) - Open source framework for quantum computing and quantum machine learning that integrates various other platforms. - [Project Q](http://projectq.ch/) - Framework for implementing quantum computing in Python. - [pyQuil](https://github.com/rigetticomputing/pyquil) - Python library for quantum programming using Quil by Rigetti. - [pytket](https://cqcl.github.io/pytket/build/html/index.html) - Python module for interfacing with Cambridge Quantum Computing's t|ket>; a tool for circuit optimising and qubit allocation. - [QCL](http://tph.tuwien.ac.at/~oemer/qcl.html) - Older, C like language for quantum computers. Only has a simulator and debugger. - [Qiskit SDK](https://qiskit.org) - Software development kit by IBM for writing and running quantum algorithms on simulators and real hardware. - [Qiskit.js](https://github.com/QISKit/qiskit-js) - Qiskit for JavaScript made by IBM. - [Qrack](https://vm6502q.readthedocs.io) - High performance LGPL-licensed C++ quantum simulator library, documentation, and test code. - [Quantum++](https://github.com/vsoftco/qpp) - High performance modern C++11 quantum computing library. - [Quantum Inspire](https://www.quantum-inspire.com/) - Platform to run quantum algorithms on simulators or quantum hardware - by QuTech. - [Quantum Programming Studio](https://quantum-circuit.com/) - Web based quantum programming IDE and simulator. - [Quipper](https://www.mathstat.dal.ca/~selinger/quipper/) - Embedded, scalable, functional programming language for quantum computing. - [Qurry](https://github.com/LSaldyt/Qurry) - Quantum probabilistic programming language based on functional and probabilistic paradigms. - [QuTiP](http://qutip.org/docs/latest/index.html) - Quantum toolbox in Python for simulating dynamics of open quantum systems. - [Q#](https://docs.microsoft.com/en-gb/quantum/?view=qsharp-preview) - Microsoft quantum development kit and Q# programming language. - [Strangeworks Platform](https://quantumcomputing.com/) - A hardware agnostic platform and interface allowing for focus on development rather than specific hardware solution building. - [TensorFlow Quantum](https://www.tensorflow.org/quantum) - A quantum machine learning library that integrates Cirq with TensorFlow for prototyping of hybrid quantum-classical models for classical or quantum data. - [Tequila](https://github.com/aspuru-guzik-group/tequila) - An Extensible Quantum Information and Learning Architecture developed by Alan Aspuru-Guzik group (University of Toronto). ## Blogs - [Algorithmic Assertions](http://algassert.com/) - About quantum computing and computing in general by Craig Gidney - a member of Google Quantum Computing Team. - [Bits of Quantum](http://blog.qutech.nl/) - By the QuTech institution, sharing their research and daily life. - [Dawid Kopczyk](http://dkopczyk.quantee.co.uk/category/quantum_computing/) - Quantum algorithms explained to data scientists with visualisations. - [Decodoku](https://medium.com/@decodoku) - Interesting posts on quantum computation, by James Wootton. - [Microsoft Quantum blog](https://cloudblogs.microsoft.com/quantum/) - Microsoft Quantum program-wide updates. - [Musty Thoughts](http://mustythoughts.com) - Personal blog of Michał Stęchły, includes many articles for people starting to learn about quantum computing. - [Qiskit blog](https://medium.com/qiskit) - All about quantum computation from the Qiskit community team. - [Quantumfy](https://quantumnews.io/) - Snippets on the latest quantum computing news. - [Quantum Frontiers](https://quantumfrontiers.com/) - By the Quantum Institute for Quantum Information and Matter, sharing behind the scenes research insights. - [Quantum Weekly](https://quantumweekly.com/) - A weekly correlation of all things quantum - computing, cryptography, entanglement. - [Quantum Zeitgeist](https://quantumzeitgeist.com/) - Covers the latest news in quantum computing as well as QC companies and careers. - [Q# Blog](https://devblogs.microsoft.com/qsharp/) - Microsoft Quantum development updates. - [Shtetl-Optimized](https://www.scottaaronson.com/blog/) - Scott Aaronson's thoughts on quantum computing matters. - [The Quantum Aviary](https://thequantumaviary.blogspot.com/) - Blog without the hype talking about developments in quantum hardware. - [The Quantum Daily](https://thequantumdaily.com/) - Outlet for the latest news in quantum computing, presenting articles for both research scientists and the curious Sunday newspaper reader. ## Books - [An Introduction to Quantum Computing](https://www.amazon.com/Introduction-Quantum-Computing-Phillip-Kaye/dp/019857049X/) - Strikes an excellent balance between accessiblity and mathematical rigour. It is suitable for undergraduate students. - [Classical and Quantum Computation](https://books.google.com.au/books/about/Classical_and_Quantum_Computation.html?id=TrMposZZ0MQC&redir_esc=y) - Introduction to fundamentals of classical and quantum computing. - [Dancing with Qubits](https://www.robertsutor.com/dancing-with-qubits/) - How quantum computing works and how it can change the world. - [Learn Quantum Computation using Qiskit](http://community.qiskit.org/textbook) - An open-source textbook covering quantum algorithms and showing how to run them on real hardware using Qiskit. Also covers prerequisites. - [Learn Quantum Computing with Python and Q#](https://www.manning.com/books/learn-quantum-computing-with-python-and-q-sharp) - Introduces quantum computing using Python and Q#, Microsoft's new language for quantum programming. - [Problems and Solutions in Quantum Computing](https://www.worldscientific.com/worldscibooks/10.1142/6077#) - Easy to advanced quantum computing and information problems with detailed solutions. - [Programming Quantum Computers: Essential Algorithms and Code Samples](https://www.amazon.com/Programming-Quantum-Computers-Essential-Algorithms/dp/1492039683) - Hands-on introduction to quantum computing that focuses on concepts and programming examples (in multiple languages). - [Quantum Computation and Quantum Information](http://mmrc.amss.cas.cn/tlb/201702/W020170224608149940643.pdf) - Comprehensive textbook for those with some prior knowledge in mathematics, computer science and physics. - [Quantum Computing: An Applied Approach](https://www.springer.com/gp/book/9783030239213) - A hands on introduction into quantum computing that explains the foundations of quantum computing to the mathematics behind quantum systems. - [Quantum Computing: A Gentle Introduction](http://mmrc.amss.cas.cn/tlb/201702/W020170224608150244118.pdf) - Explains quantum computing with only basic college maths knowledge needed. - [Quantum Computing Explained](https://www.amazon.com/Quantum-Computing-Explained-David-McMahon/dp/0470096993) - Conversational approach to explaining quantum computing with worked solutions. - [Quantum Computing for Computer Scientists](https://www.amazon.com/Quantum-Computing-Computer-Scientists-Yanofsky/dp/0521879965) - Quantum computing explained using an approach accessible to undergraduate computer science students. - [Quantum Computing for Java Developers](https://www.manning.com/books/quantum-computing-for-java-developers) - Explains quantum computing through the lens of its practical implementation. - [Quantum Computing for the Quantum Curious](https://link.springer.com/book/10.1007%2F978-3-030-61601-4) - Freely available quantum computing textbook aimed at high school students, undergraduate students and the general public. ## Popular Science - [Quantum Computing Since Democritus](https://www.amazon.com/Quantum-Computing-since-Democritus-Aaronson/dp/0521199565) - A cute introduction to quantum computing and computational complexity theory. It is intended for the widest possible target audience, and contains some topics of relevance to philosophy. - [Seth Lloyd. Programming the Universe_ A Quantum Computer Scientist Takes on the Cosmos](https://www.amazon.com/Programming-Universe-Quantum-Computer-Scientist-ebook/dp/B000GCFBP6) - What if the universe is a giant quantum computer? It takes the reader throuogh a journey of computational model of the universe and its implications on physics. - [The Fabric of Reality: The Science of Parallel Universes and Its Implications](https://www.amazon.com/Fabric-Reality-Parallel-Universes-Implications/dp/014027541X) - It is of philosophical spirit, about revealing a unified fabric of reality explanation. ## Videos - [Anastasia Marchenkova](https://www.youtube.com/channel/UCzaYH6WeohiHKj3Ih_GdZdQ) - Youtube channel focusing on quantum computing topics and general technology. - [Circuit Sessions](https://www.youtube.com/watch?v=Omv-bPvQ3E8&list=PLOFEBzvs-VvrRlVz7wqaqmaMZj_ZK2Afe) - Qiskit series exploring the value and use of quantum circuits through a lecture series by academics and industry researchers. - [Coding with Qiskit video series](https://www.youtube.com/playlist?list=PLOFEBzvs-Vvp2xg9-POLJhQwtVktlYGbY) - YouTube video series showing how to write quantum algorithms. - [Introduction to Quantum Programming](https://skillsmatter.com/skillscasts/11929-programming-the-world-s-first-quantum-computers-using-forest) - The why and how of quantum programming with a focus on the Python Forest SDK from Rigetti. - [Quantum Computing for Computer Scientists](https://www.youtube.com/watch?v=F_Riqjdh2oM) - Microsoft Research Talk on introductory quantum computing for computer scientists. Duration: 1 hour, 28 minutes. - [Quantum Computing for the Determined](https://www.youtube.com/playlist?list=PL1826E60FD05B44E4) - A series of lectures on quantum computing basics by [Michael Nielsen](http://michaelnielsen.org/). - [Quantum Computation and Information at CMU](https://www.youtube.com/playlist?list=PLm3J0oaFux3YL5qLskC6xQ24JpMwOAeJz) - A series of lectures on quantum computing by [Professor O'Donnell at CMU](https://www.cs.cmu.edu/~odonnell/quantum18/). - [Quantum Impact](https://www.youtube.com/playlist?list=PLFPUGjQjckXFsOEBvvaDeIk5GxctP0ZhX) - Understand how quantum computing can help scientists solve some of the world's most challenging problems such as land optimisation. - [Quantum Computing Seminar Series](https://www.youtube.com/watch?v=iKgysY097Ok&list=PLOFEBzvs-Vvr0uEoGFo08n4-WrM_8fft2) - Qiskit series discussing recent research. - [Quantum Mechanics by PBS Space Time](https://www.youtube.com/playlist?list=PLsPUh22kYmNCGaVGuGfKfJl-6RdHiCjo1) - YouTube playlist targeting a wide audience with generic concepts around Quantum Mechanics and Computing. ## Community - [D-Wave Leap Community](https://support.dwavesys.com/hc/en-us/community/topics) - D-Wave System's Leap Community Forum. - [IBM Q Community](https://community.qiskit.org/) - IBM Q Community page with list of upcoming events and latest programs. - [IBM Q Qiskit Community](https://qiskit.slack.com/) - Slack Channel for Qiskit and quantum computing discussions. - [Mike & Ike Subreddit](https://www.reddit.com/r/MikeAndIke/) - Discussion about the book Quantum Computation and Quantum Information. - [Pennylane Discussion Forum](https://discuss.pennylane.ai/) - Discussion forum for quantum machine learning, both using simulations and on near term hardware. - [Quantum Computing Slack Community](https://quantum-computing.herokuapp.com/) - Slack channels for discussion of quantum computing. - [Quantum Computing StackExchange](http://quantumcomputing.stackexchange.com/) - Question and answer site for quantum computing. - [Quantum Computing Subreddit](https://www.reddit.com/r/QuantumComputing/) - Community for discussion of many quantum computing topics. - [Quantum Inferiority](https://matrix.to/#/#quantum_inferiority:chat.weho.st) - Quantum Programming Chat on matrix, language agnostic, expertise not required. - [Quantum Information and Quantum Computer Scientists of the World Unite](https://www.facebook.com/groups/qinfo.scientists.unite/) - Facebook group for quantum research discussion. - [Q# Community](https://qsharp.community) - Community contributed libraries, projects, and demos for the Q# language. - [Rigetti Community](https://join.slack.com/t/rigetti-forest/shared_invite/enQtNTUyNTE1ODg3MzE2LWExZWU5OTE4YTJhMmE2NGNjMThjOTM1MjlkYTA5ZmUxNTJlOTVmMWE0YjA3Y2M2YmQzNTZhNTBlMTYyODRjMzA) - Slack Channel for Rigetti and quantum computing discussions. - [Strawberry Fields Community](https://u.strawberryfields.ai/slack) - Slack channel for Xanadu and Strawberry Fields photonic/CV quantum computing discussions. ## Podcasts - [Meet the meQuanics](https://soundcloud.com/mequanics) - Interviews with key quantum computing figures, aimed at the lay person. - [Quantum Computing Now](https://anchor.fm/quantumcomputingnow) - Podcast by Ethan Hansen covering three main topics: the basics of quantum computing, interviews and the latest news. ## License [![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/) To the extent possible under law, [Desiree Vogt-Lee](https://github.com/desireevl) has waived all copyright and related or neighboring rights to this work.