Abstract
We develop an approach for engineering non-Gaussian photonic states in discrete frequency bins. Combining the quantum frequency processor and photon-number-resolving detection, simulated examples demonstrate the potential for producing high-fidelity cat states with reasonable resource requirements.
Original language | English |
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Title of host publication | 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781957171050 |
State | Published - 2022 |
Event | 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - San Jose, United States Duration: May 15 2022 → May 20 2022 |
Publication series
Name | 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings |
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Conference
Conference | 2022 Conference on Lasers and Electro-Optics, CLEO 2022 |
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Country/Territory | United States |
City | San Jose |
Period | 05/15/22 → 05/20/22 |
Bibliographical note
Publisher Copyright:© Optica Publishing Group 2022, © 2022 The Author(s)
Funding
We thank R. C. Pooser and K. K. Sabapathy for useful 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. 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 Early Career Research Program (Field Work Proposals ERKJ355 and ERKJ353). A.J.P. acknowledges support from the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists Science Undergraduate Laboratory Internship Program. C.N.G. and S.G. acknowledge an ORNL/DOE subaward under grant number 4000178321, and partial support from the Office of Naval Research (ONR) under grant number N00014-19-1-2189.
Funders | Funder number |
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Office of Workforce Development for Teachers | |
Office of Naval Research | N00014-19-1-2189 |
U.S. Department of Energy | DE-AC05-00OR22725, 4000178321 |
Office of Science | |
Advanced Scientific Computing Research | ERKJ355, ERKJ353 |
Oak Ridge National Laboratory |