IEEE OTTAWA WEBINAR SERIES ON AI AND MACHINE LEARNING
Date: Tuesday, July 21th, 2020
Time: 12:00 PM – 1:00 PM
Location: Online – WebEx
Event Contact: Kexing Liu (firstname.lastname@example.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.