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X-WR-CALNAME:[ICQ] Preksha Naik (Caltech) Testing Classical Properties from
  Quantum Data
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TZUNTIL:20270328T010000Z
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DTSTART:20241027T030000
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RDATE:20261025T030000
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DESCRIPTION:Many classes of Boolean functions can be tested much faster tha
 n they can be learned. However\, this speedup tends to rely on query acces
 s to the function f. When access is limited to random samples (x\, f(x))—t
 he passive testing model and a natural setting for data science—testing ca
 n become much harder. Here we introduce 'quantum passive testing' as a qua
 ntum version of this “data science scenario”: quantum algorithms that test
  properties of a function f solely from quantum data in the form of copies
  of the function state |f⟩ ∝ \sum_x |x\,f(x)⟩. Just like classical samples
 \, function states are independent of the property of interest and can be 
 collected well in advance. Our work is an exploration of this property tes
 ting model under various guises.\n\n\nhttps://combalgo.labri.fr/pmwiki.php
 /Groupe/Info-Quantique\n\nImport automatique depuis https://webmel.u-borde
 aux.fr/home/bf-labri.ca@u-bordeaux.fr/gt.info-quantique.ics par sync_icals
 _to_drupal.py pour gt-iq
DTSTART;TZID=Europe/Paris:20250527T104500
DTEND;TZID=Europe/Paris:20250527T114500
LOCATION:room 178
SEQUENCE:0
SUMMARY:[ICQ] Preksha Naik (Caltech) Testing Classical Properties from Quan
 tum Data
TRANSP:OPAQUE
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