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A curated list of awesome quantum computing learning and developing resources.

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What's inside

Blogs

  • 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.

  • Decodoku

    Interesting posts on quantum computation, by James Wootton.

  • Microsoft Quantum blog

    Microsoft Quantum program-wide updates.

  • Musty Thoughts

    Personal blog of Michał Stęchły, includes many articles for people starting to learn about quantum computing.

Development Tools

  • Amazon Braket

    Fully managed service providing a development environment to run quantum circuits on quantum simulators and computers.

  • Blueqat

    Software development kit in Python for quantum gate computing.

  • Boulder Opal

    Python toolset for automating and optimizing quantum hardware performance.

  • Cirq

    Python library for writing, manipulating, and optimizing NISQ circuits to run on quantum computers.

  • Covalent

    Framework for distributed computing on heterogeneous infrastructure from CPUs to GPUs to quantum computers.

  • Fire Opal

    Python package for improving the quality of quantum algorithm results.

Videos

Learning

Books

MOOCs

Community

Podcasts

Showing a sample of 136 resources. View the full list on GitHub →