Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > QUANTUM > 2022 > QTh3B > QTh3B.3

Quantum state preparation and measurement using liquid crystals and deep learning

Martin Bielak, Dominik Vašinka, Robert Stárek, Michal Mičuda, and Miroslav Ježek

Not Accessible

Your library or personal account may give you access

Abstract

We report fast estimation of single and multi-mode polarization states at an unprecedented fidelity level of 0.9996(4) and deep learning preparation of arbitrary polarization-encoded qubits with 0.998(6) fidelity using twisted nematic liquid-crystals.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
Deep learning of polarization transfer in liquid crystals with application to quantum state preparation

Dominik Vašinka, Martin Bielak, Michal Neset, and Miroslav Ježek
JW3B.81 CLEO: Applications and Technology (CLEO:A&T) 2022

Bidirectional optimal quantum control: A use case of polarization in liquid crystals

Dominik Vašinka, Martin Bielak, Michal Neset, and Miroslav Ježek
QW2A.5 Quantum 2.0 (QUANTUM) 2022

Polarization Quantum State Tomography With a Single Liquid Crystal Variable Retarder

Spencer Johnson, John Floyd, Kelsey Ortiz, and Paul Kwiat
JTu3A.27 CLEO: Applications and Technology (CLEO:A&T) 2022

View More...

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads

More Like This
Deep learning of polarization transfer in liquid crystals with application to quantum state preparation

Dominik Vašinka, Martin Bielak, Michal Neset, and Miroslav Ježek
JW3B.81 CLEO: Applications and Technology (CLEO:A&T) 2022

Bidirectional optimal quantum control: A use case of polarization in liquid crystals

Dominik Vašinka, Martin Bielak, Michal Neset, and Miroslav Ježek
QW2A.5 Quantum 2.0 (QUANTUM) 2022

Polarization Quantum State Tomography With a Single Liquid Crystal Variable Retarder

Spencer Johnson, John Floyd, Kelsey Ortiz, and Paul Kwiat
JTu3A.27 CLEO: Applications and Technology (CLEO:A&T) 2022

View More...
Efficient Quantum State Tomography Using Collective Measurements

Arman Mansouri, Raphael A. Abrahao, and Jeff S. Lundeen
FM3B.5 Frontiers in Optics (FiO) 2022

Retrieval of Elastic Constants of Liquid Crystals Using Physics-Informed Neural Network

Chandroth P. Jisha, Alessandro Alberucci, and Stefan Nolte
JTu4A.24 Frontiers in Optics (FiO) 2022

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