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Research PaperResearchia:202604.15067

Quantum state transfer on a scalable network under unital and non-unital noise

Monika Rani

Abstract

We investigate quantum state transfer on a class of bipartite graphs, namely the butterfly graphs, within the framework of discrete-time quantum walks. These graphs facilitate the construction of scalable quantum networks that enable communication between a sender and a receiver via perfect state transfer. Our analysis demonstrates that state transfer occurs across different butterfly graphs, thereby extending the known families of networks that support high-fidelity quantum state transfer. In a...

Submitted: April 15, 2026Subjects: Quantum Physics; Quantum Computing

Description / Details

We investigate quantum state transfer on a class of bipartite graphs, namely the butterfly graphs, within the framework of discrete-time quantum walks. These graphs facilitate the construction of scalable quantum networks that enable communication between a sender and a receiver via perfect state transfer. Our analysis demonstrates that state transfer occurs across different butterfly graphs, thereby extending the known families of networks that support high-fidelity quantum state transfer. In addition to the ideal noiseless dynamics, we further investigate the robustness of quantum state transfer in the presence of non-Markovian environmental noise, specifically, random telegraph noise, modified Ornstein-Uhlenbeck noise, which are examples of unital noise and non-Markovian amplitude damping noise, non-unital noise. These noise models capture different types of system-environment interactions and memory effects that influence the coherence of the quantum walk. These findings contribute to the theoretical understanding of how butterfly graph constructions influence quantum transport phenomena.


Source: arXiv:2604.11620v1 - http://arxiv.org/abs/2604.11620v1 PDF: https://arxiv.org/pdf/2604.11620v1 Original Link: http://arxiv.org/abs/2604.11620v1

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Submission Info
Date:
Apr 15, 2026
Topic:
Quantum Computing
Area:
Quantum Physics
Comments:
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