JOINT WEBINAR
JOINT WEBINAR WITH INTERDISCIPLINARY RESEARCH CENTER FOR INTELLIGENT SECURE SYSTEMS
Information scrambling and the learning landscape of a quantum machine learning algorithm.
Speaker:
Dr. Sabre Kais
Department of Chemistry and Electrical and Computer Engineering, Purdue University.
Date: Wednesday, 05 June 2024
Time: 11:00 a.m.
Abstract:
In this talk, I will focus on quantum machine learning, particularly the Restricted Boltzmann Machine (RBM), as it emerged to be a promising alternative approach leveraging the power of quantum computers. The workhorse of our technique is a shallow neural network encoding the desired state of the system with the amplitude computed by sampling the Gibbs−Boltzmann distribution using a quantum circuit and the phase information obtained classically from the nonlinear activation of a separate set of neurons. In Addition to present successful applications for electronic structure of 2D-materials I will discuss the training dynamics by unraveling how quantum information is scrambled through such a network introducing correlation among its constituent sub-systems. Finally, I will discuss possible applications of RBM in the field of open quantum dynamics and emerging phenomena in topological materials.
“Quantum Machine Learning for Electronic Structure Calculations”
Rongxin Xia and Sabre Kais, Nature Comm. 9, 4195 (2018)
“Quantum Machine-Learning for Eigenstate Filtration in Two-Dimensional Materials”, Manas Sajjan, Shree Hari Sureshbabu and Sabre Kais, JACS 143, 44, 18426 (2021).
“Quantum Machine Learning for Chemistry and Physics”
Manas Sajjan, Junxu Li, Raja Selvarajan, Shree Hari Sureshbabu, Sumit Suresh Kale, Rishabh Gupta, Vinit Singh and Sabre Kais, Chemical Society Reviews, 51, 6475 (2022).
“Imaginary components of out-of-time-order correlator and information scrambling for navigating the learning landscape of a quantum machine learning model”, Manas Sajjan, Vinit Singh, Raja Selvarajan and Sabre Kais, PHYSICAL REVIEW RESEARCH 5, 013146 (2023).
https://www.chem.purdue.edu/kais/
Biography:
Sabre Kais received a BSc, MSc, and PhD degree from Hebrew University of Jerusalem in 1983, 1984, and 1989, respectively. From 1989 to 1994, he was a research associate at Harvard University, Department of Chemistry. He joined Purdue University in 1994 as an Assistant Professor of Theoretical Chemistry. Currently, he is a distinguished Professor of Chemical Physics, a Professor of Computer Science, Professor of Physics, and a Professor of Electrical and Computer engineering (courtesy) at Purdue University. He has published over 260 papers in peer-reviewed journals. The research in his group is mainly devoted to finite-size scaling and quantum phase transitions, dimensional scaling, quantum information, and quantum computing. He was director of the NSF-funded center of innovation on “Quantum Information for Quantum Chemistry” from 2010-2013. He has been on the Editorial Board of several journals, including Molecular Physics, Scientific Reports, Frontiers in Physical Chemistry, and Papers in Physics. He has served as an External Research Professor at Santa Fe Institute from 2013 to 2019. He is a Fellow of the American Physical Society, a Fellow of the American Association for the Advancement of Science, a Guggenheim Fellow, a Purdue University Faculty Scholar, a National Science Foundation Career Award Fellow, a 2012 Sigma Xi Research Award recipient, and a 2019 Herbert Newby McCoy Award recipient, the most prestigious award given by Purdue University in natural sciences.
https://www.chem.purdue.edu/kais/people/sabre-kais.html
All faculty, researchers and students are invited to attend.