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PERIMETER INSTITUTE RECORDED SEMINAR ARCHIVE

PIRSA:20010095  ( MP4 Medium Res , MP3 , PDF ) Which Format?
Meta-Learning Algorithms and their Applications to Quantum Computing
Speaker(s): Mat Kallada
Abstract:

Meta-learning involves learning mathematical devices using problem instances as training data. In this talk, we first describe recent meta-learning approaches involving the learning of objects such as: initial weights, parameterized losses, hyper-parameter search strategies, and samplers. We then discuss learned optimizers in further detail and their applications towards optimizing variational circuits. This talk also covers some lessons learned starting a spin-off from academia.

Date: 28/01/2020 - 2:30 pm
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