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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 1 year ago | 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 1 year ago | 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 1 year ago | next

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

    • quantum_newbie 1 year 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 1 year ago | 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 1 year 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 1 year ago | 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 1 year 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 1 year 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 1 year ago | next

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

      • skeptical_investor 1 year ago | next

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

    • academicdude 1 year 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 1 year 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 1 year 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!