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DTSTART:20260329T030000
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DTSTAMP:20260406T000347Z
UID:6912fab37560e657485285@ist.ac.at
DTSTART:20251128T140000
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DESCRIPTION:Speaker: Philip Walther\nhosted by Johannes Fink\nAbstract: Aft
 er providing a brief overview of recent advancements in the generation and
  processing of multi-photon states [1]\, I will show the potential of phot
 onic quantum machine learning. After presenting a quantum-enhanced reinfor
 cement learning using a tunable integrated processor [2]\, I will discuss 
 our development of a so-called quantum memristor for single photons [3]. T
 hese devices\, which can mimic the behavior of neurons and synapses\, hold
  great promise for the realization of quantum neural networks. I will also
  present how photonic processors can implementing quantum-enhanced kernels
  for machine learning tasks [4].At the end I will change topic by briefly 
 discussing the flexibility of photonic systems for tasks that require non-
 standard quantum computer architectures [5]\; and potentially update about
  our ongoing experimental research aiming to explore the interface between
  quantum mechanics and general relativity by performing high-precision exp
 eriments using entangled photon states as probe[6].[1] Science Advances 10
 \, eadj0993 (2024).[2] Nature 591\, 229 (2021).[3] Nature Photonics 16\, 3
 18 (2022).[4] Nature Photonics 19\, 1020 (2025).[5] Optica 10\, 200 (2023)
 .[6] Science Advances 10\, eadov0215 (2024).
LOCATION:Sunstone Bldg / Ground floor / Big Seminar Room B / 63 seats (I23.
 EG.102)\, ISTA
ORGANIZER:swiddman@ist.ac.at
SUMMARY:Philip Walther: Exploiting Quantum Photonics for Quantum Computing 
 and Machine Learning
URL:https://talks-calendar.ista.ac.at/events/6158
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