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PRODID:UW-Madison-Physics-Events
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SEQUENCE:2
UID:UW-Physics-Event-6846
DTSTART:20220215T160000Z
DTEND:20220215T170000Z
DTSTAMP:20260414T113411Z
LAST-MODIFIED:20220204T182952Z
LOCATION:5310 Chamberlin Hall
SUMMARY:Quantum randomness: from chaos to quantum computing\, R. G. He
 rb Condensed Matter Seminar\, Bin Yan\, Los Alamos National Laboratory
DESCRIPTION: The development of quantum technologies has now become a 
 global race owing to its great promise to revolutionize our ability fo
 r information processing. On the other hand\, the influence of quantum
  information science has concurrently penetrated into research areas o
 f fundamental physics as well. In this talk\, I will thus focus on a t
 opic at the interface between Physics and Quantum Information. Specifi
 cally\, I will present our approach to the study of quantum chaos from
  a quantum information point-of-view\, and explore the implications of
  chaotic dynamics on the performance of quantum machine learning. Nota
 bly\, quantum chaos is of fundamental interest and is crucial for answ
 ering several key questions in condensed matter physics\, e.g.\, therm
 alization in isolated many-body systems. Similarly\, quantum machine l
 earning offers an appealing synergistic approach for combining and uti
 lizing the potentials of machine learning and quantum computers. The i
 nterplay between these fields demonstrates how technical toolkits deve
 loped in Quantum Information can be applied to study problems in Physi
 cs\, and vice versa insight from physics can strengthen our understand
 ing of the limitations of quantum information processing. I will concl
 ude this talk with a discussion about several relevant ongoing and fut
 ure directions\, including quantum networking and quantum correlations
  in quantum material.
URL:https://www.physics.wisc.edu/events/?id=6846
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