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SUMMARY:Utilizing Gaussian Boson Sampling for Hyperspectral Data Reduction
DTSTART;VALUE=DATE-TIME:20260911T070000Z
DTEND;VALUE=DATE-TIME:20260911T074000Z
DTSTAMP;VALUE=DATE-TIME:20260922T182719Z
UID:indico-contribution-2048@events.ncbj.gov.pl
DESCRIPTION:Speakers: Jakub Mielczarek (Jagiellonian University)\nGaussian
  Boson Sampling (GBS) is a photonic sampling process whose output probabil
 ities can be related to graph-theoretic problems\, including clique findin
 g. In this talk\, I will discuss the application of GBS to the band-select
 ion problem in hyperspectral satellite data\, where the goal is to identif
 y a reduced set of spectral bands while preserving the relevant informatio
 n. \nAlthough GBS was originally formulated as a photonic process\, it is 
 also possible to explore its implementation on qubit-based quantum archite
 ctures\, which are currently more widely accessible. I will present our re
 cent construction that enables such a mapping. Finally\, I will discuss th
 e advantages and limitations of employing GBS to satellite data analysis.\
 n\nhttps://events.ncbj.gov.pl/event/468/contributions/2048/
LOCATION:
URL:https://events.ncbj.gov.pl/event/468/contributions/2048/
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