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SUMMARY:Masoud Mohseni (Google Quantum Artificial Intelligence Laboratory)
DTSTART:20200730T163000Z
DTEND:20200730T173000Z
DTSTAMP:20260423T003248Z
UID:MPML/13
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/MPML/13/">Te
 nsorFlow Quantum: An open source framework for hybrid quantum-classical ma
 chine learning.</a>\nby Masoud Mohseni (Google Quantum Artificial Intellig
 ence Laboratory) as part of Mathematics\, Physics and Machine Learning (IS
 T\, Lisbon)\n\n\nAbstract\nIn this talk\, I introduce TensorFlow Quantum (
 TFQ)\, an open source library that was launched by Google in March 2020\, 
 for the rapid prototyping of hybrid quantum-classical models for classical
  or quantum data.This framework offers high-level abstractions for the des
 ign\, training\, and testing of both discriminative and generative quantum
  models under TensorFlow and supports high-performance quantum circuit sim
 ulators. I provide an overview of the software architecture and building b
 locks through several examples and illustrate TFQ functionalities via cons
 tructing hybrid quantum-classical convolutional neural networks for quantu
 m state classification.\n
LOCATION:https://researchseminars.org/talk/MPML/13/
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