[Quantum computing](https://en.wikipedia.org/wiki/Quantum_computing) utilises quantum mechanical phenomenon such as entanglement and superpositon 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!
- [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.
- [How the quantum search algorithm works](https://quantum.country/search) - Essay on the quantum search algorithm by Michael Nielsen and Andy Matuschak.
- [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.
- [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.
- [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 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.
- [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.
- [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.
- [Understanding Quantum Computers](https://www.futurelearn.com/courses/intro-to-quantum-computing) - Introduction to the key concepts of quantum computing with minimal mathematics.
- [IBM Quantum Composer](https://quantumexperience.ng.bluemix.net/qx/editor) - Online quantum composer to run experiments on real quantum computing hardware.
- [Algorithmic Assertions](http://algassert.com/) - About quantum computing and computing in general by Craig Gidney - a member of Google Quantum Computing Team.
- [Quantum Frontiers](https://quantumfrontiers.com/) - By the Quantum Institute for Quantum Information and Matter, sharing behind the scenes research insights.
- [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.
- [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.
- [Quantum Computation and Quantum Information](http://csis.pace.edu/ctappert/cs837-18spring/QC-textbook.pdf) - Comprehensive textbook for those with some prior knowledge in mathematics, computer science and physics.
- [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.
- [Opportunities and Challenges for Quantum Machine Learning](https://arxiv.org/abs/1708.09757) - Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers.
- [Quantum Machine Learning](https://www.researchgate.net/publication/264825604_Quantum_Machine_Learning_What_Quantum_Computing_Means_to_Data_Mining) - Quantum machine learning and what quantum computing means to data mining.
- [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/).
- [Pennylane Discussion Forum](https://discuss.pennylane.ai/) - Discussion forum for quantum machine learning, both using simulations and on near term hardware.
- [Quantum Information and Quantum Computer Scientists of the World Unite](https://www.facebook.com/groups/qinfo.scientists.unite/) - Facebook group for quantum research discussion.
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.
