Active Polarization Control using Classical Headers in Quantum Wrapper Networks

We demonstrate automated polarization compensation of quantum datagrams leveraging classical headers as a polarization probe, thereby advancing the functionality of quantum wrapper networking. We furthermore observe minimal performance degradation from Raman scattering noise.

Authors

Institutions

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/quantum.2025.qtu3a.37
Citations
2
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
4.96
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Active Polarization Control using Classical Headers in Quantum Wrapper Networks

Sze Tiong Tan, Prem Kumar, Roberto Proietti, James van Howe et al.
2 citations
Neural Networks and Reservoir Computing
4.96
article

Active Polarization Control using Classical Headers in Quantum Wrapper Networks

Sze Tiong Tan, Prem Kumar, Roberto Proietti, James van Howe, Gamze Gül, Mehmet Berkay On, Gregory S. Kanter
article en
2 citations

Abstract

We demonstrate automated polarization compensation of quantum datagrams leveraging classical headers as a polarization probe, thereby advancing the functionality of quantum wrapper networking. We furthermore observe minimal performance degradation from Raman scattering noise.

Northwestern University (US), Politecnico di Torino (IT), Augustana College (US), University of California, Davis (US)
Openalex Percentile: Top 5%
Neural Networks and Reservoir Computing
4.96
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.