Using Quantum Circuits as Machine Learning Models

The Xanadu team hosted its first quantum machine learning hackathon, QHACK, from Nov 25–26, 2019, bringing together experts and enthusiasts in quantum computing and quantum machine learning. Here are some of the talks from the event.

[asifsaad]

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

[mikejason]

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

[manavnaik]

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?

[manavnaik]

Is this the end product of reverse engineering or of physics