!
You're viewing papers too quickly. Please wait a moment.<br>This helps keep the archive available for everyone.

Quick Navigation

Topics

Quantum Cryptography Security Quantum Machine Learning

Establishing Quantum-Secured Channels in Large-Scale Optical Networks

arXiv
Authors: Farzam Toudeh-Fallah

Year

2024

Paper ID

64332

Status

Preprint

Abstract Read

~2 min

Abstract Words

84

Citations

N/A

Abstract

Quantum-secured optical channels based on Quantum Key Distribution technology have generated a significant global interest. Although the maturity level of the short distance (less than 100 km) quantum-secured channels is at a deployment level, instituting such channels over long distance faces technological challenges, which is the subject of a world-wide research. In this article an industry perspective on establishing quantum-secured channels in large-scale optical networks in operational environments will be discussed, including the vision, requirements, and technical analysis of different approaches for establishing such channels.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • Quantum-secured optical channels based on Quantum Key Distribution technology have generated a significant global interest.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #64332 #77795 Machine Learning‐Based Discover... #77780 Demonstrating Coherent Quantum ... #77778 Reflections on the Promoting Ef...

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.