Quick Navigation

Topics

Open Quantum Systems Decoherence Quantum Machine Learning Entanglement Theory Quantum Correlations

On the Capacity of the Quantum Switch with and without Entanglement Decoherence

arXiv
Authors: Víctor Valls, Panagiotis Promponas, Leandros Tassiulas

Year

2024

Paper ID

64890

Status

Preprint

Abstract Read

~2 min

Abstract Words

82

Citations

N/A

Abstract

This paper studies the capacity of the quantum switch for two decoherence models: when link-level entanglements last (i) for a time slot, or (ii) until they are used to serve a request (i.e., there is no decoherence). The two models are important as they set lower and upper bounds on the capacity region for any other decoherence model. The paper's contributions are to characterize the switch capacity region for both decoherence models and to propose throughput-optimal policies based on gradient descent.

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.
  • This paper studies the capacity of the quantum switch for two decoherence models: when link-level entanglements last (i) for a time slot, or (ii) until they are used to serve a...

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 #64890 #69598 The classical boundaries of the... #69593 Local correlations in long-rang... #69591 Compact graphs and quantum auto... #69577 Real-time pseudo entropy and mo...

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.