QLunch: Quantum Photonics for AI and AI for Quantum Photonics

Speaker: Jacques Carolan from NBI

Title: Quantum Photonics for AI and AI for Quantum Photonics

Abstract:
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.