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State Transfer in Noisy Modular Quantum Networks
Tekijät: Hahto, Markku; Piilo, Jyrki; Nokkala, Johannes
Kustantaja: John Wiley and Sons Inc
Julkaisuvuosi: 2025
Journal: Advanced Quantum Technologies
Tietokannassa oleva lehden nimi: Advanced Quantum Technologies
Artikkelin numero: 2400316
Vuosikerta: 8
Numero: 1
eISSN: 2511-9044
DOI: https://doi.org/10.1002/qute.202400316
Verkko-osoite: https://doi.org/10.1002/qute.202400316
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/458478769
Quantum state transfer is the act of transferring quantum information from one system in a quantum network to another without physically transporting carriers of quantum information, but instead engineering a Hamiltonian such that the state of the sender is transferred to the receiver through the dynamics of the whole network. A generalization of quantum state transfer called quantum routing concerns simultaneous transfers between multiple pairs in a quantum network, imposing limitations on its structure. This study considers transfer of Gaussian states over noisy quantum networks with modular structure, which have been identified as a suitable platform for quantum routing. Two noise models are compared, affecting either the network topology or the network constituents, studying their effects on both the transfer fidelities and the network properties. The two models are found to affect different features of the network allowing for the identification and quantification of the noise. These features are then used as a guide toward different strategies for the compensation of the noise, and to examine how the compensation strategies perform. The results show that in general, modular networks are more robust to noise than monolithic ones.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
Julkaisussa olevat rahoitustiedot:
M.H. acknowledges financial support from Vilho, Yrjö and Kalle Väisälä Foundation. J.N. acknowledges financial support from the Academy of Finland under project no. 348854.
