Quick Navigation

Topics

Quantum Algorithms

Entanglement distribution with minimal memory requirements using time-bin photonic qudits

arXiv
Authors: Yunzhe Zheng, Hemant Sharma, Johannes Borregaard

Year

2022

Paper ID

57879

Status

Preprint

Abstract Read

~2 min

Abstract Words

121

Citations

N/A

Abstract

Generating multiple entangled qubit pairs between distributed nodes is a prerequisite for a future quantum internet. To achieve a practicable generation rate, standard protocols based on photonic qubits require multiple long-term quantum memories, which remains a significant experimental challenge. In this paper, we propose a novel protocol based on 2m-dimensional time-bin photonic qudits that allow for the simultaneous generation of multiple (m) entangled pairs between two distributed qubit registers and outline a specific implementation of the protocol based on cavity-mediated spin-photon interactions. By adopting the qudit protocol, the required qubit memory time is independent of the transmission loss between the nodes in contrast to standard qubit approaches. As such, our protocol can significantly boost the performance of near-term quantum networks.

Why This Paper Matters

  • It adds a 2022 reference point for readers tracking recent quantum research.
  • Generating multiple entangled qubit pairs between distributed nodes is a prerequisite for a future quantum internet.

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 #57879 #69983 Spectral Leakage and Masking Ef... #69982 Dimensionality Reduction of QAO... #69981 A Hybrid Quantum-Classical Appr... #69980 Complexity Inequalities for Qua...

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.