Modeling integrated quantum frequency processors towards robust quantum networks

Benjamin E. Nussbaum; Andrew J. Pizzimenti; Navin B. Lingaraju; Hsuan Hao Lu; Joseph M. Lukens

doi:10.1117/12.2649212

Modeling integrated quantum frequency processors towards robust quantum networks

Benjamin E. Nussbaum, Andrew J. Pizzimenti, Navin B. Lingaraju, Hsuan Hao Lu, Joseph M. Lukens

Quantum Communications and Networking

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

Abstract

Frequency-encoded quantum information offers intriguing opportunities for quantum communications networks, with the quantum frequency processor (QFP) paradigm promising scalable construction of quantum gates. Yet all experimental demonstrations to date have relied on discrete fiber-optic components that occupy significant physical space and impart appreciable loss. We introduce a model for designing QFPs comprising microring resonator-based pulse shapers and integrated phase modulators. We estimate the performance of frequency-bin Hadamard gates, finding high fidelity values sustained for relatively wide-bandwidth frequency bins. Our simple model and can be extended to other material platforms, providing a design tool for future frequency processors in integrated photonics.

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/10.1117/12.2649212
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 thank A. M. Weiner and K. V. Myilswamy for valuable discussions. This research was performed in part at Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. This work was funded by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists Science Undergraduate Laboratory Internship Program; the U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research, Early Career Research Program (ERKJ353); the National Science Foundation (1747426-DMR, 1839191-ECCS); and Air Force Research Laboratory (FA8750-20-P-1705). This material is based upon work partially supported by the U.S. Department of Energy Office of Science National Quantum Information Science Research Centers.

Keywords

Quantum computing
optical pulse shaping
optical resonators
phase modulation
photonic integrated circuits
quantum networks
silicon photonics

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10.1117/12.2649212

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Nussbaum, B. E., Pizzimenti, A. J., Lingaraju, N. B., Lu, H. H., & Lukens, J. M. (2023). Modeling integrated quantum frequency processors towards robust quantum networks. In P. R. Hemmer, & A. L. Migdall (Eds.), Quantum Computing, Communication, and Simulation III Article 124460I (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12446). SPIE. https://doi.org/10.1117/12.2649212

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abstract = "Frequency-encoded quantum information offers intriguing opportunities for quantum communications networks, with the quantum frequency processor (QFP) paradigm promising scalable construction of quantum gates. Yet all experimental demonstrations to date have relied on discrete fiber-optic components that occupy significant physical space and impart appreciable loss. We introduce a model for designing QFPs comprising microring resonator-based pulse shapers and integrated phase modulators. We estimate the performance of frequency-bin Hadamard gates, finding high fidelity values sustained for relatively wide-bandwidth frequency bins. Our simple model and can be extended to other material platforms, providing a design tool for future frequency processors in integrated photonics.",

keywords = "Quantum computing, optical pulse shaping, optical resonators, phase modulation, photonic integrated circuits, quantum networks, silicon photonics",

author = "Nussbaum, {Benjamin E.} and Pizzimenti, {Andrew J.} and Lingaraju, {Navin B.} and Lu, {Hsuan Hao} and Lukens, {Joseph M.}",

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Nussbaum, BE, Pizzimenti, AJ, Lingaraju, NB, Lu, HH & Lukens, JM 2023, Modeling integrated quantum frequency processors towards robust quantum networks. in PR Hemmer & AL Migdall (eds), Quantum Computing, Communication, and Simulation III., 124460I, 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/10.1117/12.2649212

Modeling integrated quantum frequency processors towards robust quantum networks. / Nussbaum, Benjamin E.; Pizzimenti, Andrew J.; Lingaraju, Navin B. et al.
Quantum Computing, Communication, and Simulation III. ed. / Philip R. Hemmer; Alan L. Migdall. SPIE, 2023. 124460I (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 - Frequency-encoded quantum information offers intriguing opportunities for quantum communications networks, with the quantum frequency processor (QFP) paradigm promising scalable construction of quantum gates. Yet all experimental demonstrations to date have relied on discrete fiber-optic components that occupy significant physical space and impart appreciable loss. We introduce a model for designing QFPs comprising microring resonator-based pulse shapers and integrated phase modulators. We estimate the performance of frequency-bin Hadamard gates, finding high fidelity values sustained for relatively wide-bandwidth frequency bins. Our simple model and can be extended to other material platforms, providing a design tool for future frequency processors in integrated photonics.

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Modeling integrated quantum frequency processors towards robust quantum networks

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