Jeremie Fish, Research Assistant Professor, Department of Electrical and Computer Engineering at Clarkson University
Will present a talk entitled:
“Perfect state transfer for quantum computing with non-Hermitian Hamiltonians.”
Location: SC160
Date: Friday, September 24th 2021
Time: 4pm
Abstract: With Moore’s law winding down, quantum computing (QC) currently promises to be the next big leap in our ability to perform computations. Recent advances have allowed us to scale up the number of qubits a system can have, pushing quantum computers ever closer to the ability to outperform traditional computers on a number of tasks. The need for new protocols, which are valid in the QC context is apparent. Perfect state transfer (PST), as it relates to read-in and read-out of quantum information, as well as quantum storage, is an example of a desired protocol. However PST can be challenging to achieve due to the fragility of quantum entangled states. Thus much effort has been expended on determining which network topologies allow for PST between a pair of nodes. Nearly all work in PST has focused on PST in traditional quantum systems, with Hermitian Hamiltonians. Yet for two decades it has been recognized that a completely consistent non-Hermitian quantum theory exists. In this work we will focus on searching for PST in systems with non-Hermitian (asymmetric) Hamiltonians, using a class of directed networks which are known to have all real eigenvalues.
Bio: Jeremie Fish is a Research Assistant Professor in the Department of Electrical and Computer Engineering at Clarkson University. He obtained the B.A. degree in Physics from SUNY Plattsburgh 2011, and the M.S. and Ph D. degrees in Physics from Clarkson University in 2015 and 2018, respectively. After obtaining his PhD, he was a research associate at Clarkson University from 2018 to 2020.
Dr. Fish’s research interests include statistical inverse problems, graph theory, network science, and machine learning. In his free time, Dr. Fish enjoys outdoor activities with his wife and young children.
Also on zoom: https://clarkson.zoom.us/j/91936452957?pwd=RDdpdUlCc1ZUbDY5NlhtNmdrMTNlQT09
Meeting ID: 919 3645 2957
Passcode: 853627
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*Co-Sponsored by IEEE student branch and HKN
