Abstract
We experimentally examine the performance of a machine learning based phase estimation and compensation framework for Gaussian modulated continuous variable quantum key distribution relative to a transmitted local oscillator and ideal phase compensation.
Original language | English |
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Title of host publication | Proceedings of 2023 Conference on Lasers and Electro-Optics |
Number of pages | 2 |
Publisher | IEEE |
Publication date | 2023 |
Article number | FF2A.4 |
ISBN (Electronic) | 9781957171258 |
Publication status | Published - 2023 |
Event | CLEO: Science and Innovations 2023 - San Jose McEnery Convention Center, San Jose, United States Duration: 7 May 2023 → 12 May 2023 https://www.cleoconference.org |
Conference
Conference | CLEO: Science and Innovations 2023 |
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Location | San Jose McEnery Convention Center |
Country/Territory | United States |
City | San Jose |
Period | 07/05/2023 → 12/05/2023 |
Internet address |
Bibliographical note
Funding Information:The authors acknowledge support from Innovation Fund Denmark (CryptQ project #0175-00018A), and the DNRF Center for Macroscopic Quantum States (bigQ, DNRF142), and DCC [4]. This project was funded within the QuantERA II Programme that has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 101017733.
Funding Information:
The authors acknowledge support from Innovation Fund Denmark (CryptQ project #0175-00018A), and the DNRF Center for Macroscopic Quantum States (bigQ, DNRF142), and DCC [4]. This project was funded within the QuantERA II Programme that has received funding from the European Union,s Horizon 2020 research and innovation programme under Grant Agreement No 101017733.
Publisher Copyright:
© 2023 The Author(s)