Southwest Quantum Information and Technology

Heuristics for machine learning in quantum compression

Presenting Author: Jonathan Olson, Harvard University
Contributing Author(s): Jonathan Romero and Alan Aspuru-Guzik

Machine learning (ML) is a powerful technique for discovering and classifying features in large data sets. However, the somewhat ad-hoc nature of ML algorithms cultivates a heavy dependence on the heuristics of these methods. In this talk, we discuss and introduce new general heuristics for quantum machine learning in the context of data compression.

(Session 5 : Thursday from 5:00pm - 7:00pm)