Maria Schuld - How to rethink quantum machine learning - IPAM at UCLA

Recorded 16 October 2023. Maria Schuld of Xanadu Quantum Technologies presents "How to rethink quantum machine learning" at IPAM's Mathematical Aspects of Quantum Learning Workshop.
Abstract: A lot of theoretical legwork in quantum machine learning is spent on analysing parametrised quantum circuits trained by gradient descent methods. But are these really the fundamental models that we will run on future quantum computers, or are we firing our mathematical arsenal at the most obvious -- but ultimately useless -- design idea? In this talk I want to share preliminary results from two ongoing studies. The first one casts doubts on the much-celebrated performance of "quantum over classical" by conducting a systematic comparison of popular quantum models that, so far, produces astonishing outcomes. The second study asks how we can investigate core routines in quantum computing, such as Shor's algorithm, from the perspective of generalisation and hope to carve out a very different way of thinking about the intersection of quantum computing and machine learning.
Learn more online at: www.ipam.ucla.edu/programs/wo...

[@SumNumber]

Maria, what you are describing is an interface between AI and individual humans around the world in the future . I am sure you do not realize the ramifications concerning this because many others do not as well . This particular model in its current form may not be the end result but the principle will be there. What we are creating is a highway of digital information that , unfortunately , can be manipulated by those with ill intent and we have more than we need of that lot at the moment 2023 . Such a deal ! :O)

[@RudraC]

How do you prove that your own thinking is correct? Proving another person wrong does not automatically make your own correct. Remember बालक |

[@deeplearningpartnership]

This is a joke, right?

[@user-py3wh2jd5o]

Yes... Now wake up !

[@Lallafef]

This woman doesn't know what she is talking about.