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CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
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UID:UW-Physics-Event-6454
DTSTART:20210524T140000Z
DTEND:20210524T220000Z
DTSTAMP:20260414T195235Z
LAST-MODIFIED:20210511T135301Z
LOCATION:more info and to register: https://www.imsi.institute/quantum
 -information/
SUMMARY:Quantum Information for Mathematics\, Economics\, and Statisti
 cs Workshop\, Wisconsin Quantum Institute\, Various\, IMSI
DESCRIPTION:Note: this workshop takes places May 24-28<br>\n<br>\nTh
 ere are many practical and theoretical challenges in the emerging area
  of quantum information processing\, which seeks to optimally use the 
 information embedded in the state of a quantum system to solve previou
 sly intractable computational problems and revolutionize simulation. T
 he engineering goal is to develop scalable quantum hardware that circu
 mvents the physical limits on the computational power of existing tech
 nologies\, which are ultimately constrained by energy dissipation as t
 he physical size of the components is reduced to the nanometer scale. 
 In parallel with such “practical” difficulties\, new theory is req
 uired to understand the limitations of quantum media and capitalize on
  the advantages of quantum superposition and entanglement. This includ
 es the creation of new quantum algorithms that are targeted toward rea
 l-world problems\, e.g.\, in finance\, chemistry\, and medicine\; a st
 udy of the required resources to achieve a particular outcome\, as wel
 l as methods to efficiently characterize such resources\; and the deve
 lopment of novel protocols for secure quantum-enhanced communication\,
  as well as classical ‘post-quantum encryption’ methods that are i
 mmune to quantum hacking. For all of these\, quantum information theor
 y relies on and draws inspiration from many different aspects of mathe
 matics and theoretical computer science\, including geometry\, group t
 heory\, functional analysis\, number theory\, operator theory\, probab
 ility theory\, topology\, complexity theory\, and learning theory. Fur
 thermore\, the recent resolution of Connes’ embedding conjecture usi
 ng quantum information-theoretic methods shows that ideas and results 
 from quantum information theory can also influence research in pure ma
 thematics.
URL:https://www.physics.wisc.edu/events/?id=6454
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