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CATEGORIES:Conferences/Seminars/Lectures
DESCRIPTION:HAKAN TÜRECI (Princeton University): Reservoir Computing Approa
 ch to Quantum State Measurement\n\nMore information | Join our community to
  receive the Webinar link\n\nReservoir computing is an artificial neural ne
 twork approach developed over the past two decades for processing time-depe
 ndent signals\, used successfully for applications such as classification\,
  forecasting and feedback control. In our work we extend this framework to 
 the processing of signals resulting from the measurement of a quantum mecha
 nical system. The motivation is to substantially reduce the latency in the 
 measurement process and identify new modalities for extracting information 
 about multi-qubit systems. I will discuss some preliminary results from our
  work-in-progress on the implementation and theoretically expected performa
 nce of a cryogenic superconducting reservoir processor for the joint disper
 sive readout of a multi-qubit system. Most notably we find that the trainin
 g of a reservoir processor is substantially faster than the calibration of 
 a readout system through an optimal linear filter\, the established approac
 h implemented in superconducting quantum computers today.
DTEND:20201015T171500Z
DTSTAMP:20260316T002820Z
DTSTART:20201015T160000Z
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SEQUENCE:0
SUMMARY:iQuISE Seminar Series
UID:tag:localist.com\,2008:EventInstance_34801610147942
URL:https://calendar.mit.edu/event/iquise_seminar_series_645
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