PIRSA Logo


PERIMETER INSTITUTE RECORDED SEMINAR ARCHIVE

Pirsa: 20010095 - Meta-Learning Algorithms and their Applications to Quantum Computing

Speaker(s):

Mat Kallada

Playing this video requires MP4 / H.264 support to be configured and enabled in your browser.

Download link (right click and 'save-as') for playing in VLC or other compatible player.

Download Video

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.

Valid XHTML 1.0!