Quantum Machine Learning, a practical overview of the most anticipated NISQ potential
Seminars
Laboratory of Information Technologies
Seminar of the scientific department of computational physics
Date and Time: Thursday, 21 October 2021, at 3:00 PM
Venue: room 310, Laboratory of Information Technologies; online seminar on Webex
Seminar topic: “Quantum Machine Learning, a practical overview of the most anticipated NISQ potential”
Speaker: Kareem H. El-Safty (Wigner Research Centre for Physics and Alexandria Quantum Computing Group)
Abstract:
Quantum machine learning (QML) is a direct promising application of the emerging quantum computing industry. Nevertheless, it’s still not clear how to interpret its theoretical advantage in our daily lives. In this talk, we shall discuss the current status of the QML field, the potential applications, and future directions. Specifically, topics such as Quantum Kernels and Barren Plateaus will be explored. Moreover, the ideas of using ML techniques for modelling quantum systems and Wigner functions will be introduced.