Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology

Yasmin Sarhan; Umadini Ranasinge; Abigail L. Stressinger; Guangpeng Xu; James Berry; Tim Thomay

doi:10.1364/quantum.2025.qtu3a.27

Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology

Yasmin Sarhan
, Umadini Ranasinge
, Abigail L. Stressinger
, Guangpeng Xu
, James Berry
, Tim Thomay

SUNY Buffalo

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

Abstract

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.

Original language	English
Title of host publication	Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition
Publisher	Optical Society of America
ISBN (Electronic)	9781957171487
DOIs	https://doi.org/10.1364/quantum.2025.qtu3a.27
State	Published - 2025
Event	Optica Quantum 2.0 Conference and Exhibition, QUANTUM 2025 - San Francisco, United States Duration: Jun 1 2025 → Jun 5 2025

Publication series

Name	Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition

Conference

Conference	Optica Quantum 2.0 Conference and Exhibition, QUANTUM 2025
Country/Territory	United States
City	San Francisco
Period	06/1/25 → 06/5/25

Access to Document

10.1364/quantum.2025.qtu3a.27

Cite this

Sarhan, Y., Ranasinge, U., Stressinger, A. L., Xu, G., Berry, J., & Thomay, T. (2025). Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology. In Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition Article QTu3A.27 (Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition). Optical Society of America. https://doi.org/10.1364/quantum.2025.qtu3a.27

@inproceedings{1174403c554a4b829268a5b4f007e3f8,

title = "Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology",

abstract = "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.",

author = "Yasmin Sarhan and Umadini Ranasinge and Stressinger, \{Abigail L.\} and Guangpeng Xu and James Berry and Tim Thomay",

note = "Publisher Copyright: {\textcopyright} 2025 The Author(s).; Optica Quantum 2.0 Conference and Exhibition, QUANTUM 2025 ; Conference date: 01-06-2025 Through 05-06-2025",

year = "2025",

doi = "10.1364/quantum.2025.qtu3a.27",

language = "English",

series = "Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition",

publisher = "Optical Society of America",

booktitle = "Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition",

}

Sarhan, Y, Ranasinge, U, Stressinger, AL, Xu, G, Berry, J & Thomay, T 2025, Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology. in Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition., QTu3A.27, Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition, Optical Society of America, Optica Quantum 2.0 Conference and Exhibition, QUANTUM 2025, San Francisco, United States, 06/1/25. https://doi.org/10.1364/quantum.2025.qtu3a.27

Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology. / Sarhan, Yasmin; Ranasinge, Umadini; Stressinger, Abigail L. et al.
Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition. Optical Society of America, 2025. QTu3A.27 (Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition).

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

TY - GEN

T1 - Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology

AU - Sarhan, Yasmin

AU - Ranasinge, Umadini

AU - Stressinger, Abigail L.

AU - Xu, Guangpeng

AU - Berry, James

AU - Thomay, Tim

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/105013081944

U2 - 10.1364/quantum.2025.qtu3a.27

DO - 10.1364/quantum.2025.qtu3a.27

M3 - Conference contribution

AN - SCOPUS:105013081944

T3 - Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition

BT - Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition

PB - Optical Society of America

T2 - Optica Quantum 2.0 Conference and Exhibition, QUANTUM 2025

Y2 - 1 June 2025 through 5 June 2025

ER -

Sarhan Y, Ranasinge U, Stressinger AL, Xu G, Berry J , Thomay T. Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology. In Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition. Optical Society of America. 2025. QTu3A.27. (Quantum 2.0 in Proceedings Optica Quantum 2.0 Conference and Exhibition). doi: 10.1364/quantum.2025.qtu3a.27

Optimizing Higher-Order Photon Correlation using Machine Learning for Novel Sensing Technology

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