Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > LS > 2021 > JW7A > JW7A.113

On the efficacy of classical deep learning methods on quantum information science

Sanjaya Lohani, Brian T. Kirby, Ryan T. Glasser, and Thomas A. Searles

Not Accessible

Your library or personal account may give you access

Abstract

We study the efficacy of deep learning-based quantum state reconstruction methods with respect to inference and training, and then implement the reconstruction technique on an IBM quantum computer.

© 2021 The Author(s)

PDF Article
More Like This
Deep Learning Method for Quantum Efficiency Reconstruction

Yonatan Sharabi, Anatoly Patsyk, Ron Ziv, and Mordechi Segev
STh4J.7 CLEO: Science and Innovations (CLEO:S&I) 2021

Quantum Information Science in the Optics Curriculum

Bahaa Saleh
W2B.4 Education and Training in Optics and Photonics (ETOP) 2021

A novel method of data remapping for quantum information science

Syed Adil Rab and Silvia Colabrese
F5A.84 Quantum Information and Measurement (QIM) 2019

View More...

Poster Presentation

Media 1: PDF (1824 KB)     
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use