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

Recovery With Incomplete Knowledge: Fundamental Bounds on Real-Time Quantum Memories

Not Accessible

Your library or personal account may give you access

Abstract

Noise drift in quantum hardware is an important obstacle for scalable quantum computation, e.g. when performing complex quantum algorithms with runtimes exeeding the characteristic time of the noise drift. I address this problem by proposing drift-adaptive quantum error correction, and prove metrological bounds in its operation fidelity.

© 2023 The Author(s)

PDF Article
More Like This
Certification and quantification of the entanglement stored in a quantum memory using incomplete data

A. Tiranov, M. Huber, J. Lavoie, P. C. Strassmann, E. Z. Cruzeiro, S. Designolle, N. Brunner, F. Bussières, M. Afzelius, and N. Gisin
QW2B.2 Quantum Information and Measurement (QIM) 2017

The Quantum Memory Stick

Simon J. Devitt
FTu3A.7 CLEO: QELS_Fundamental Science (CLEO:FS) 2014

Atomic quantum memory as a time-frequency processor

Mateusz Mazelanik, Adam Leszczyński, Michał Lipka, Michał Parniak, and Wojciech Wasilewski
FW4J.4 CLEO: Fundamental Science (CLEO:FS) 2023

Poster Presentation

Media 1: PDF (142 KB)     
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.