IEEE OTTAWA WEBINAR SERIES ON AI AND MACHINE LEARNING

Date: Tuesday, July 21th, 2020

Time: 12:00 PM – 1:00 PM

Location: Online – WebEx

Registration/Event Information:
https://events.vtools.ieee.org/m/234954

Event Contact: Kexing Liu (kexing.liu@ieee.org)

Speaker: Dr. Jacques Carolan of University of Copenhagen, Danmark

Title of the talk: Quantum Photonics Processors to Accelerate Machine Learning

The generation and manipulation of quantum states of light has historically played a critical role in the development of quantum information science: from the first violation of Bell’s inequality to the more recent development of near-term quantum algorithms such as the variational quantum eigensolver. In this talk, I present a new frontier for photons at the intersection of quantum mechanics and machine learning. I will first provide a short introduction to the field of quantum photonics, then demonstrate how quantum photonic processors can accelerate both quantum and classical machine learning. Finally, I show how optimization techniques can enhance large-scale quantum control and provide a new path towards efficient verification of near-term quantum processors.

Posted by IEEE Ottawa Section Publications on 2020-07-17 at 23:40 in .

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