Using Quantum Circuits as Machine Learning Models

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  • เผยแพร่เมื่อ 1 ก.พ. 2025

ความคิดเห็น • 10

  • @asifsaad5827
    @asifsaad5827 ปีที่แล้ว

    could you provide the slides please?
    it is hard to see them on the screen.

  • @mikejason3822
    @mikejason3822 3 ปีที่แล้ว +1

    What is the meaning of the statement "supervised learning is kind of solved"?

    • @manavnaik1607
      @manavnaik1607 3 ปีที่แล้ว

      Humans need not apply

    • @manavnaik1607
      @manavnaik1607 3 ปีที่แล้ว

      This account looks like it has parsed information

  • @manavnaik1607
    @manavnaik1607 3 ปีที่แล้ว

    Do H gates (pay attention to the wiring in a circuit it just goes in a straight line from input to output) really exist or are they reductio ad absurdum from trying to math physics OR physics math (which is the same thing as just using a classical adder in your traditional circuits). The problem with doing that is essentially you are the only person in your respective timeline. If these gates are real just remember that schrodeingers cat got the answer for what state to be in from a future version of itself when building circuits. This essentially claims the cat never survived until infinity to send something back in time. What am I missing here?

    • @manavnaik1607
      @manavnaik1607 3 ปีที่แล้ว

      What would be really useful is if we could see this initial state of the H Gate is to compare it with the output so other people can actually see proof of work so we don’t get arguments for god.

    • @manavnaik1607
      @manavnaik1607 3 ปีที่แล้ว

      Besides the cat

    • @manavnaik1607
      @manavnaik1607 3 ปีที่แล้ว

      Like did you reverse engineer quantum information for IBM lol

  • @manavnaik1607
    @manavnaik1607 3 ปีที่แล้ว

    Thanks for collapsing my wave

  • @manavnaik1607
    @manavnaik1607 3 ปีที่แล้ว

    Is this the end product of reverse engineering or of physics