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VERSION:2.0
PRODID:Icfo
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BEGIN:VEVENT
UID:6ae6b782ae033
DTSTART:20261110T140000Z
SEQUENCE:0
TRANSP:OPAQUE
DTEND:20261110T150000Z
LOCATION:Blue Lecture Room 
SUMMARY:ICFO | ALEXIA SALAVRAKOS
CLASS:PUBLIC
DESCRIPTION:Photonics is among the most promising approaches to building a 
 quantum computer. Photonic quantum computing covers different&nbsp\;scheme
 s\, such as continuous- or discrete-variable&nbsp\;encodings\, as well as 
 heralded or on-demand photon sources. In this talk\, I will first review t
 he current technology landscape and discuss available paths for scaling to
  a fault-tolerant quantum computer\, including a spin-optical architecture
  proposal based on single-photon emitters. I will then turn to linear opti
 cal platforms\, which are candidates for near-term demonstrations of quant
 um advantage through boson sampling. I will present results on&nbsp\;desig
 ning and running quantum algorithms on these near-term processors\, focusi
 ng on how they can be used for generative quantum machine learning.
DTSTAMP:20261101T035234Z
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