Modeling integrated quantum frequency processors towards robust quantum networks
Affiliation
James C. Wyant College of Optical Sciences, University of ArizonaIssue Date
2023-03-08Keywords
optical pulse shapingoptical resonators
phase modulation
photonic integrated circuits
Quantum computing
quantum networks
silicon photonics
Metadata
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SPIECitation
Benjamin E. Nussbaum, Andrew J. Pizzimenti, Navin B. Lingaraju, Hsuan-Hao Lu, and Joseph M. Lukens "Modeling integrated quantum frequency processors towards robust quantum networks", Proc. SPIE 12446, Quantum Computing, Communication, and Simulation III, 124460I (8 March 2023); https://doi.org/10.1117/12.2649212Rights
© 2023 SPIE.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.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. © 2023 SPIE.Note
Immediate accessISSN
0277-786XVersion
Final Published Versionae974a485f413a2113503eed53cd6c53
10.1117/12.2649212
