2 papers
cs.LG2024
A Metric Driven Approach to Mixed Precision Training
Mitchelle Rasquinha, Gil Tabak
As deep learning methodologies have developed, it has been generally agreed that increasing neural network size improves model quality. However, this is at the expense of memory an…
quant-ph2018
Factorization of Linear Quantum Systems with Delayed Feedback
Gil Tabak, Ryan Hamerly, Hideo Mabuchi
We consider the transfer functions describing the input-output relation for a class of linear open quantum systems involving feedback with nonzero time delays. We show how such tra…