Year: 2020
Type: conference-paper
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.
Authors: Logan G. Wright, Peter L. McMahon
Institutions: Cornell University, Stanford University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2965124577
