Hostname: page-component-76d6cb85b7-5qg8f Total loading time: 0 Render date: 2026-07-13T00:45:42.011Z Has data issue: false hasContentIssue false

Monoidal reverse differential categories

Published online by Cambridge University Press:  20 February 2023

Geoff Cruttwell
Affiliation:
Department of Mathematics and Computer Science, Mount Allison University, Sackville, Canada
Jonathan Gallagher
Affiliation:
HRL Laboratories Center for Secure and Resilient Systems, Malibu, USA
Jean-Simon Pacaud Lemay
Affiliation:
Department of Mathematics and Computer Science, Mount Allison University, Sackville, Canada Research Institute of Mathematical Sciences, Kyoto University, Kyoto Japan
Dorette Pronk*
Affiliation:
Department of Mathematics and Statistics, Dalhousie University, Halifax, Canada
*
*Corresponding author. Email: Dorette.Pronk@dal.ca
Rights & Permissions [Opens in a new window]

Abstract

Cartesian reverse differential categories (CRDCs) are a recently defined structure which categorically model the reverse differentiation operations used in supervised learning. Here, we define a related structure called a monoidal reverse differential category, prove important results about its relationship to CRDCs, and provide examples of both structures, including examples coming from models of quantum computation.

Information

Type
Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press