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SUMMARY:Quantum computing through the lens of control: Introduction and ro
 bustness properties
DTSTART:20250613T110000
DTEND:20250613T120000
DTSTAMP:20260525T220248Z
UID:3614359301f84b0489f171640818fc853201f5f9b2ef5d9436d35b6e
CATEGORIES:Conferences - Seminars
DESCRIPTION:Julian Berberich is a Lecturer (Akademischer Rat) at the Insti
 tute for Systems Theory and Automatic Control at the University of Stuttga
 rt\, Germany.\nAbstract:\nQuantum computing is a fascinating interdiscipli
 nary research field that promises to revolutionize computing by efficientl
 y solving previously intractable problems. Recent years have seen tremendo
 us progress on both the experimental realization of quantum computing devi
 ces as well as the development and implementation of quantum algorithms. Y
 et\, realizing computational advantages of quantum computers in practice r
 emains a widely open problem due to numerous fundamental challenges. Inter
 estingly\, many of these challenges are connected to performance\, robustn
 ess\, scalability\, optimization\, or feedback\, all of which are central 
 concepts in control theory.\n\nThis talk will provide a tutorial introduct
 ion to quantum computing from the perspective of control theory. I will in
 troduce the mathematical framework of quantum algorithms ranging from basi
 c elements including quantum bits and quantum gates to more advanced conce
 pts. In particular\, I will present recent research results on the rob
 ustness of quantum algorithms and on quantum machine learning\, covering b
 oth new theoretical insights as well as practical validations in simulatio
 n and on a real quantum computer.\n\nShort bio:\nJulian Berberich is a Lec
 turer (Akademischer Rat) at the Institute for Systems Theory and Automatic
  Control at the University of Stuttgart\, Germany. He received his Ph.D. i
 n Mechanical Engineering in 2022\, and a Master’s degree in Engineering 
 Cybernetics in 2018\, both from the University of Stuttgart\, Germany. In 
 2022\, he was a visiting researcher at ETH Zürich\, Switzerland. For his 
 Ph.D. thesis\, he received the Dr.-Klaus-Körper Prize by the Internationa
 l Association of Applied Mathematics and Mechanics\, as well as the Bürke
 rt University Prize by the Foundation of the University of Stuttgart. Furt
 hermore\, he is a recipient of the 2022 George S. Axelby Outstanding Paper
  Award as well as the Outstanding Student Paper Award at the 59th IEEE Con
 ference on Decision and Control in 2020. His research interests include da
 ta-driven analysis and control as well as quantum computing.
LOCATION:ME C2 405 https://plan.epfl.ch/?room==ME%20C2%20405
STATUS:CONFIRMED
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