Invitation to the seminar "Quantum-enhanced Machine Learning: a sanity check " - 25/02/2019, Budinich Lecture Hall, 9am

Marcello.Dalmonte mdalmont at ictp.it
Wed Feb 20 13:33:44 CET 2019



Dear All,

You are most cordially invited to the opening talk of the Workshop on 
Ubiquitous Quantum Physics: the New Quantum Revolution, that will be 
delivered by Dr. Peter Wittek, who will speak about:

Quantum-enhanced Machine Learning: a sanity check

The event will take place in Budinich Lecture Hall on _Monday, 25/02 at 
9:00 am_. The talk is intended for a _broad audience of theoretical 
physicists and mathematicians_.

More information about the event is available at the Workshop webpage: 
http://indico.ictp.it/event/8662.

All the best

marcello

=======

Dr. Peter Wittek / https://peterwittek.com

Quantum-enhanced Machine Learning: a sanity check

Machine learning is one of the fields that could benefit from near-term
quantum computers: just the same way massively parallel digital computers
enabled deep learning to scale up, quantum processing units (QPUs) are 
great
at doing certain workloads. The problem is that the emergent field of 
quantum
machine learning has been plagued with expectations that are unrealistic on
contemporary quantum computers and relevance to the machine learning and AI
communities has largely been overlooked. In this talk, we give a survey on
what early quantum devices can contribute to machine learning. The primary
algorithmic primitives are sampling, optimization, calculating kernel
functions, and some variational problems efficiently which map to hybrid
classical-quantum protocols. The main application areas in machine learning
are probabilistic graphical models, in particular Boltzmann machines and 
deep
variants thereof, quantum neural networks, and searches over discrete
parameter spaces. These models have different strengths than the ones 
trained
on digital computers, hence quantum machine learning plays a complementary
role to classical techniques, rather than acting as a replacement. We will
also highlight possible pathways forward that would make upcoming quantum
architectures more relevant to AI research.





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