Awesome-Mirrors/awesome-quantum-computing
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@ -27,6 +27,7 @@ For further resources related to Open Source Quantum Software Projects, please c
- [CNOT](https://cnot.io/) - Easy to understand, step by step introduction to quantum computing concepts.
- [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.
- [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.
@ -57,11 +58,12 @@ For further resources related to Open Source Quantum Software Projects, please c
- [Cirq](https://github.com/quantumlib/Cirq) - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
- [IBM Quantum Composer](https://quantumexperience.ng.bluemix.net/qx/editor) - Online quantum composer to run experiments on real quantum computing hardware.
- [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.
- [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.
- [pyQuil](https://github.com/rigetticomputing/pyquil) - Python library for quantum programming using Quil by Rigetti.
- [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://github.com/Qiskit/qiskit-sdk-py) - Software development kit for working with OpenQASM and the IBM Q Experience.
- [Qiskit.js](https://github.com/QISKit/qiskit-js) - Qiskit for JavaScript.
- [Qiskit SDK](https://github.com/Qiskit/qiskit-sdk-py) - Software development kit by IBM for working with OpenQASM and the IBM Q Experience.
- [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 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.