Merge pull request #58 from pensiero/patch-2

Added "Quantum Inspire" references
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Desiree Vogt-Lee 2021-03-19 13:58:05 +10:00 committed by GitHub
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@ -41,6 +41,7 @@ For further resources related to Open Source Quantum Software Projects, please c
- [Quantum Computing Playground](http://www.quantumplayground.net/#/home) - 3D quantum state visualisation tool able to simulate up to 22 qubits. - [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 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 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 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 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. - [Quantum Machine Learning for Data Scientists](https://arxiv.org/pdf/1804.10068.pdf) - Explanation of quantum machine learning algorithms.
@ -83,6 +84,7 @@ For further resources related to Open Source Quantum Software Projects, please c
- [Qiskit.js](https://github.com/QISKit/qiskit-js) - Qiskit for JavaScript made by IBM. - [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. - [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++](https://github.com/vsoftco/qpp) - High performance modern C++11 quantum computing library.
- [Quantum Inspire](https://www.quantum-inspire.com/) - Run quantum algorithms on simulators
- [Quantum Programming Studio](https://quantum-circuit.com/) - Web based quantum programming IDE and simulator. - [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. - [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. - [Qurry](https://github.com/LSaldyt/Qurry) - Quantum probabilistic programming language based on functional and probabilistic paradigms.