Aram Harrow
Massachusetts Institute of Technology, Cambridge, USA
Date
23 October 2019
Host
Elisa Bäumer (AMP)
Title
Hybrid Classical-Quantum Algorithms for Optimization and Inference
Abstract
Quantum computers are known to have strengths in cryptanalysis and quantum simulation, but what about machine learning? This would be a
valuable application, but there are difficulties: small quantum computers must handle large data sets and the existing classical algorithms are
already quite sophisticated. To address these challenges, I’ll describe how hybrid classical-quantum algorithms can best exploit the strengths
of both types of computers.
Aram Harrow (left) with Elisa Bäumer (right)