Quick Navigation

Topics

Quantum Foundations

Pushing Boundaries: Quantum-Enhanced Leader Election and the Limits of Consensus

arXiv
Authors: Chandrashekar Radhakrishnan, Yuhang Zheng, Olivier Marin

Year

2024

Paper ID

37069

Status

Preprint

Abstract Read

~2 min

Abstract Words

98

Citations

N/A

Abstract

This work addresses the complexities involved in designing distributed quantum algorithms, highlighting that quantum entanglement does not bypass the Fischer-Lynch-Paterson (FLP) impossibility theorem in asynchronous networks. Although quantum resources such as entanglement offer potential speedups, the inherent constraints of classical communication remain. We develop a leader election algorithm as a proof of concept, demonstrating how entanglement can enhance efficiency while still contending with asynchronous delays. This algorithm serves as a foundation for a broader blueprint for future distributed quantum algorithms, providing insights into both the real performance gains and the limitations that entanglement offers in a distributed setting.

Why This Paper Matters

  • This paper contributes to the Quantum Foundations research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • This work addresses the complexities involved in designing distributed quantum algorithms, highlighting that quantum entanglement does not bypass the Fischer-Lynch-Paterson...

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 #37069 #78817 Modelling Josephson Junctions w... #78814 Construction of isoscattering n... #78811 Autonomous Code Migration for Q... #78808 Experimental generation of asym...

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.