Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

The Capacity of Quantum Neural Networks

Not Accessible

Your library or personal account may give you access

Abstract

Quantum neural networks (QNN) are a promising application of near-term quantum computers. We present an information theory of QNN’s expressive power, which we apply to an example optical QNN based on a Gaussian Boson Sampler.

© 2020 The Author(s)

PDF Article
More Like This
Quantum Photonic Neural Networks

Gregory R. Steinbrecher, Jonathan P. Olson, Dirk Englund, and Jacques Carolan
FF1F.2 CLEO: QELS_Fundamental Science (CLEO:FS) 2019

Maximizing Fiber Cable Capacity Under A Supply Power Constraint Using Deep Neural Networks

Junho Cho, Sethumadhavan Chandrasekhar, Erixhen Sula, Samuel Olsson, Ellsworth Burrows, Greg Raybon, Roland Ryf, Nicolas Fontaine, Jean-Christophe Antona, Steve Grubb, Peter Winzer, and Andrew Chraplyvy
W1K.2 Optical Fiber Communication Conference (OFC) 2020

Experimentally Realizable Continuous-variable Quantum Neural Networks

Shikha Bangar, George Siopsis, and Kübra Yeter-Aydeniz
QTu2A.4 Quantum 2.0 (QUANTUM) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved