Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology
A novel technique harnessing higher-order photon correlation data for sensing applications is optimized using a machine learning model. We present two applications: Higher-order photon state classification and quantum fingerprinting for plant growth optimization.
Authors
- James D. Berry (ORCID: https://orcid.org/0000-0003-0898-6081)
- Tim Thomay (ORCID: https://orcid.org/0000-0003-2271-6803)
- Guangpeng Xu (ORCID: https://orcid.org/0000-0002-4819-4831)
- Abigail L. Stressinger
- Yasmin Sarhan
- Umadini Ranasinge
Institutions
- Buffalo State University (US)
- University at Buffalo, State University of New York (US)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/quantum.2025.qtu3a.27
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00