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Learning

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Development Tools

  • Silq - Silq is a new high-level programming language for quantum computing with a strong static type system, developed at ETH Zürich.
  • Cirq - Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.
  • IBM Quantum Experience - Online quantum composer to run experiments on real quantum computing hardware.
  • NISQAI - Library for performing quantum artificial intelligence on near-term quantum computers.
  • Ocean - D-Wave's SDK for developing on their quantum computers using Python.
  • Project Q - Framework for implementing quantum computing in Python.
  • pyQuil - Python library for quantum programming using Quil by Rigetti.
  • QCL - Older, C like language for quantum computers. Only has a simulator and debugger.
  • Qiskit SDK - Software development kit by IBM for writing and running quantum algorithms on simulators and real hardware.
  • Qiskit.js - Qiskit for JavaScript made by IBM.
  • Qrack - High performance LGPL-licensed C++ quantum simulator library, documentation, and test code.
  • Quantum++ - High performance modern C++11 quantum computing library.
  • 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.

Quantum-Network-Simulators

  • Netsquid - The Network Simulator for Quantum Information using Discrete events (NetSquid) is a software tool for the modelling and simulation of scalable quantum networks developed at QuTech
  • Simulaqron - SimulaQron is an application level simulator for a quantum internet that allows you to program your own quantum internet applications. Explore how to realize software for a quantum internet connecting local quantum processors by quantum communication, and develop your own libraries and software engineering concepts suitable for a quantum internet.

Quantum-machine-learning-frameworks

  • Tensorflow Quantum -TensorFlow Quantum (TFQ) is a quantum machine learning library for rapid prototyping of hybrid quantum-classical ML models. Research in quantum algorithms and applications can leverage Google’s quantum computing frameworks, all from within TensorFlow.
  • PennylaneA cross-platform Python library for quantum machine learning, automatic differentiation, and optimization of hybrid quantum-classical computations.

Blogs

  • The quantum daily
  • 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.
  • Qiskit blog - All about quantum computation from the Qiskit community team.
  • 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.
  • Q# Blog - Microsoft Quantum development updates.
  • Shtetl-Optimized - Scott Aaronson's thoughts on quantum computing matters.

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List of quantum computing learning and developing resources.

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