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SUMMARY:Quantum Computation with Machine-Learning-Controlled Quantum Stuff
  - Lucien Hardy (Perimeter Institute)
DTSTART:20200325T141500Z
DTEND:20200325T151500Z
UID:TALK139387@talks.cam.ac.uk
CONTACT:Johannes Bausch
DESCRIPTION:We describe how one may go about performing quantum computatio
 n with arbitrary "quantum stuff"\, as long as it has some basic physical p
 roperties. Imagine a long strip of stuff\, equipped with regularly spaced 
 wires to provide input settings and to read off outcomes. After showing ho
 w the corresponding map from settings to outcomes can be construed as a qu
 antum circuit\, we provide a machine learning algorithm to tomographically
  "learn" which settings implement the members of a universal gate set. At 
 optimum\, arbitrary quantum gates\, and thus arbitrary quantum programs\, 
 can be implemented using the stuff.
LOCATION:MR3\,  Centre for Mathematical Sciences\, Wilberforce Road\, Camb
 ridge
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