Title | Scalable and programmable phononic network with trapped ions |
Author | |
Corresponding Author | Chen, Wentao; Kim, M.S.; Kim, Kihwan |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 1745-2473
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EISSN | 1745-2481
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Abstract | A network of bosons evolving among different modes while passing through beam splitters and phase shifters has been applied to demonstrate quantum computational advantage. While such networks have mostly been implemented in optical systems using photons, alternative realizations addressing major limitations in photonic systems such as photon loss have been explored recently. Quantized excitations of vibrational modes (phonons) of trapped ions are a promising candidate to realize such bosonic networks. Here, we demonstrate a minimal-loss programmable phononic network in which any phononic state can be deterministically prepared and detected. We realize networks with up to four collective vibrational modes, which can be extended to reveal quantum advantage. We benchmark the performance of the network for an exemplary tomography algorithm using arbitrary multi-mode states with fixed total phonon number. We obtain high reconstruction fidelities for both single- and two-phonon states. Our experiment demonstrates a clear pathway to scale up a phononic network for quantum information processing beyond the limitations of classical and photonic systems. © 2023, The Author(s), under exclusive licence to Springer Nature Limited. |
Indexed By | |
Language | English
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Important Publications | NI Journal Papers
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SUSTech Authorship | Others
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Funding Project | This work was supported by the innovation Program for Quantum Science and Technology under grant no. 2021ZD0301602, the National Key Research and Development Program of China under grant nos. 2016YFA0301900 and 2016YFA0301901, the National Natural Science Foundation of China grant nos. 92065205 and 11974200. M.S.K.’s work was supported by the UK Hub in Quantum Computing and Simulation, part of the UK National Quantum Technologies Programme with funding from UKRI EPSRC grant EP/T001062/1 and by the Korea Institute of Science and Technology (KIST) Open Research Program. L.B. acknowledges support from the Rita Levi Montalcini program for young researchers. We thank L. You for carefully reading of the manuscript.
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Publisher | |
EI Accession Number | 20230913654664
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EI Keywords | Benchmarking
; Bosons
; Phonons
; Photons
; Quantum optics
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ESI Classification Code | Light/Optics:741.1
; Atomic and Molecular Physics:931.3
; Quantum Theory; Quantum Mechanics:931.4
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Data Source | EV Compendex
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Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/519729 |
Department | Department of Physics 量子科学与工程研究院 |
Affiliation | 1.State Key Laboratory of Low Dimensional Quantum Physics, Department of Physics, Tsinghua University, Beijing, China 2.Shenzhen Institute for Quantum Science and Engineering, Southern University of Science and Technology, Shenzhen, China 3.Department of Physics, Renmin University of China, Beijing, China 4.MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF, Institute for Quantum Science and Engineering, School of Physics, Huazhong University of Science and Technology, Wuhan, China 5.Beijing Academy of Quantum Information Sciences, Beijing, China 6.Dipartimento di Fisica e Astronomia, Università di Firenze, Sesto Fiorentino, Italy 7.INFN, Sezione di Firenze, Sesto Fiorentino, Italy 8.QOLS, Blackett Laboratory, Imperial College London, London, United Kingdom 9.Hefei National Laboratory, Hefei, China 10.Frontier Science Center for Quantum Information, Beijing, China |
Recommended Citation GB/T 7714 |
Chen, Wentao,Lu, Yao,Zhang, Shuaining,et al. Scalable and programmable phononic network with trapped ions[J]. Nature Physics,2023.
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APA |
Chen, Wentao.,Lu, Yao.,Zhang, Shuaining.,Zhang, Kuan.,Huang, Guanhao.,...&Kim, Kihwan.(2023).Scalable and programmable phononic network with trapped ions.Nature Physics.
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MLA |
Chen, Wentao,et al."Scalable and programmable phononic network with trapped ions".Nature Physics (2023).
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