Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection

Joseph C. Chapman; Joseph M. Lukens; Muneer Alshowkan; Nageswara S.V. Rao; Brian T. Kirby; Nicholas A. Peters

doi:10.1117/12.2655801

Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection

Joseph C. Chapman, Joseph M. Lukens, Muneer Alshowkan, Nageswara S.V. Rao, Brian T. Kirby, Nicholas A. Peters

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The coexistence of classical and quantum signals over the same optical fiber is critical for quantum networks operating within the existing communications infrastructure. Here, we characterize the quantum channel that results from distributing approximate single-photon polarization-encoded qubits simultaneously with classical light of varying intensities through a 25 km fiber-optic channel. We use spectrally resolved quantum process tomography with a newly developed Bayesian reconstruction method to estimate the quantum channel from experimental data, both with and without classical noise. Furthermore, we show that the coexistent fiber-based quantum channel has high process fidelity with an ideal depolarizing channel if the noise is dominated by Raman scattering. These results aid future development of quantum repeater designs and quantum error-correcting codes which benefit from realistic channel error models.

Original language	English
Title of host publication	Quantum Computing, Communication, and Simulation III
Editors	Philip R. Hemmer, Alan L. Migdall
Publisher	SPIE
ISBN (Electronic)	9781510659971
DOIs	https://doi.org/10.1117/12.2655801
State	Published - 2023
Event	Quantum Computing, Communication, and Simulation III 2023 - San Francisco, United States Duration: Jan 29 2023 → Feb 2 2023

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12446
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Quantum Computing, Communication, and Simulation III 2023
Country/Territory	United States
City	San Francisco
Period	01/29/23 → 02/2/23

Funding

We acknowledge Brian P. Williams for his contribution to the development of the timetagger firmware. This work was performed at Oak Ridge National Laboratory, operated by UT-Battelle for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. Funding was provided by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, through the Transparent Optical Quantum Networks for Distributed Science Program and the Early Career Research Program (Field Work Proposals ERKJ355 and ERKJ353). Further Author Information: Send correspondence to J.C.C by E-mail: [email protected]. This manuscript has been co-authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

Keywords

Bayesian inference
Raman scattering
coexistence
quantum process tomography

Access to Document

10.1117/12.2655801

Cite this

Chapman, J. C., Lukens, J. M., Alshowkan, M., Rao, N. S. V., Kirby, B. T., & Peters, N. A. (2023). Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection. In P. R. Hemmer, & A. L. Migdall (Eds.), Quantum Computing, Communication, and Simulation III Article 124460F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12446). SPIE. https://doi.org/10.1117/12.2655801

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abstract = "The coexistence of classical and quantum signals over the same optical fiber is critical for quantum networks operating within the existing communications infrastructure. Here, we characterize the quantum channel that results from distributing approximate single-photon polarization-encoded qubits simultaneously with classical light of varying intensities through a 25 km fiber-optic channel. We use spectrally resolved quantum process tomography with a newly developed Bayesian reconstruction method to estimate the quantum channel from experimental data, both with and without classical noise. Furthermore, we show that the coexistent fiber-based quantum channel has high process fidelity with an ideal depolarizing channel if the noise is dominated by Raman scattering. These results aid future development of quantum repeater designs and quantum error-correcting codes which benefit from realistic channel error models.",

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Chapman, JC, Lukens, JM, Alshowkan, M, Rao, NSV, Kirby, BT & Peters, NA 2023, Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection. in PR Hemmer & AL Migdall (eds), Quantum Computing, Communication, and Simulation III., 124460F, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12446, SPIE, Quantum Computing, Communication, and Simulation III 2023, San Francisco, United States, 01/29/23. https://doi.org/10.1117/12.2655801

Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection. / Chapman, Joseph C.; Lukens, Joseph M.; Alshowkan, Muneer et al.
Quantum Computing, Communication, and Simulation III. ed. / Philip R. Hemmer; Alan L. Migdall. SPIE, 2023. 124460F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12446).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - The coexistence of classical and quantum signals over the same optical fiber is critical for quantum networks operating within the existing communications infrastructure. Here, we characterize the quantum channel that results from distributing approximate single-photon polarization-encoded qubits simultaneously with classical light of varying intensities through a 25 km fiber-optic channel. We use spectrally resolved quantum process tomography with a newly developed Bayesian reconstruction method to estimate the quantum channel from experimental data, both with and without classical noise. Furthermore, we show that the coexistent fiber-based quantum channel has high process fidelity with an ideal depolarizing channel if the noise is dominated by Raman scattering. These results aid future development of quantum repeater designs and quantum error-correcting codes which benefit from realistic channel error models.

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Chapman JC, Lukens JM, Alshowkan M, Rao NSV, Kirby BT, Peters NA. Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection. In Hemmer PR, Migdall AL, editors, Quantum Computing, Communication, and Simulation III. SPIE. 2023. 124460F. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2655801

Coexistent quantum channel characterization using quantum process tomography with spectrally resolved detection

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