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SUMMARY:A guided hike into quantum machine learning
DTSTART:20260708T120000Z
DTEND:20260709T140000Z
DTSTAMP:20260509T070800Z
UID:indico-event-16561@indico.math.cnrs.fr
DESCRIPTION:Speakers: Yann Beaujeault-Taudière (CEA\, Maison de la Simula
 tion)\n\nDescription\nAn introduction to quantum machine learning. With c
 ool pictures! With memes! With food!\nThe lecture will cover a basic int
 roduction to quantum neural networks\, quantum kernels\, and data encoding
  techniques\, with hands-on sessions for each. More advanced topics such a
 s barren plateaus\, expressivity\, and "application <-> hardware" pipeline
 s will be brushed over but not covered in detail.\nRequirements\nA little 
 background in either variational quantum algorithms or classical machine l
 earning is useful but optional.\nWhile a basic knowledge of quantum comput
 ing (gates\, circuits\, measurements) is expected\, a crash course can be 
 included to the programme\, or given as a separate lecture prior to the ev
 ent.\nSoftware tools\nWe will use Python during the hands-on sessions. You
  are free to use the quantum SDK of your choice. Nonetheless\, it is stro
 ngly recommended that you install Xanadau's PennyLane\; Qiskit is also su
 pported. Please make sure that you can run this example code\, or reprodu
 ce it using the SDK of your choice.\n\nhttps://indico.math.cnrs.fr/event/1
 6561/
LOCATION:Salle de formation (Maison de la Simulation)
URL:https://indico.math.cnrs.fr/event/16561/
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