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DTSTART:20190310T070000
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DTSTART:20181104T060000
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DTSTART;TZID=America/Toronto:20190719T114500
SEQUENCE:0
TRANSP:TRANSPARENT
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URL:https://uwaterloo.ca/institute-for-quantum-computing/events/padqoc-high
 -performance-solver-quantum-optimal-control
LOCATION:RAC - Research Advancement Centre 475 Wes Graham Way 2009 Waterloo
  ON N2L 6R2 Canada
SUMMARY:PADQOC\, high-performance solver for Quantum Optimal Control
CLASS:PUBLIC
DESCRIPTION:MICHAEL CHEN\n\nDesigning control pulses to generate desired un
 itary evolution\nsubjugated to experimental constraints (e.g.\, decoherenc
 e time\,\nbandwidth) is a common task for quantum platforms\, these type o
 f\nproblems are often addressed in the context of quantum optimal\ncontrol
 . Parallel Automatic Differentiation Quantum Optimal Control\n(PADQOC) is 
 an open-source\, Python based general quantum optimal\ncontrol solver bui
 lt on top of Tensorflow 2. It is designed to be\nfast\, extensible and use
 ful for controlling general quantum systems.
DTSTAMP:20260420T104251Z
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