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DTSTART:20220313T070000
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DTSTART:20211107T060000
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UID:69d7229f6a1c7
DTSTART;TZID=America/Toronto:20221102T120000
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TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20221102T130000
URL:https://uwaterloo.ca/institute-for-quantum-computing/events/iqc-student
 -seminar-featuring-jose-polo-gomez
LOCATION:QNC - Quantum Nano Centre 200 University Avenue West QNC 1201 Wate
 rloo ON N2L 3G1 Canada
SUMMARY:IQC Student Seminar featuring Jose Polo Gomez
CLASS:PUBLIC
DESCRIPTION:MEASURING QUANTUM FIELDS WITH PARTICLE DETECTORS AND MACHINE LE
 ARNING\n\nABSTRACT: The model for measurements used in quantum mechanics 
 (based\non the projection postulate) cannot be extended to model measureme
 nts\nof quantum fields\, since they are incompatible with relativity. We\n
 will see that measurements performed with particle detectors (i.e.\,\nloca
 lized non-relativistic quantum systems that couple covariantly to\nquantum
  fields) are consistent with relativity\, and that they allow us\nto build
  a consistent measurement theory for QFT. For this measurement\nframework 
 to be of practical use\, we need to understand how can we\nmeasure specifi
 c properties of the field using a particle detector. I\nwill show that the
 re is a simple fixed measurement protocol that\nallows us to extract essen
 tially all the information about the field\nthat the detector gathers\, an
 d that this information can then be\ninterpreted to study a specific targe
 ted feature using machine\nlearning techniques. Specifically\, I will exam
 ine two examples in\nwhich we use a neural network to extract global infor
 mation about the\nfield (boundary conditions and temperature) performing l
 ocal\nmeasurements\, taking advantage of the fact that this global\ninform
 ation is stored locally by the field\, albeit in a scrambled way.
DTSTAMP:20260409T035303Z
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