Dr. Marco O. Lanzagorta
Research Scientist at U S Naval Research Lab
SPIE Involvement:
Author | Instructor
Publications (40)

Proceedings Article | 4 May 2020 Presentation
Proceedings Volume 11408, 114080P (2020) https://doi.org/10.1117/12.2558764
KEYWORDS: Surveillance, Target detection, Interferometry

Proceedings Article | 4 May 2020 Presentation
Proceedings Volume 11408, 114080O (2020) https://doi.org/10.1117/12.2558759
KEYWORDS: Radar, Sensors, Quantum information, Sensor networks, Target detection, Information security

Proceedings Article | 23 April 2020 Presentation + Paper
Proceedings Volume 11408, 114080Q (2020) https://doi.org/10.1117/12.2560184
KEYWORDS: Single photon, Binary data, Signal to noise ratio, Modulation, Sensors, Radar, Computer simulations, Signal detection, Monte Carlo methods, Entangled states

Proceedings Article | 2 May 2017 Presentation + Paper
Proceedings Volume 10200, 102000M (2017) https://doi.org/10.1117/12.2262661
KEYWORDS: Computing systems, Superposition, Chemical elements, Sensors, Quantum computing, Data fusion, Sensor networks, Quantum networks, Quantum information, Detection and tracking algorithms, Sensor fusion, Active sensors, Quantum communications

Proceedings Article | 1 May 2017 Presentation + Paper
Ming Zhao, Jeffrey Uhlmann, Marco Lanzagorta, Jayanth Kanugo, Aditya Parashar, Oliverio Jitrik, Salvador E. Venegas-Andraca
Proceedings Volume 10188, 101880H (2017) https://doi.org/10.1117/12.2262656
KEYWORDS: Sensors, Target detection, Cameras, Photons, Imaging systems, CCD image sensors, Environmental sensing, Signal attenuation, Photodetectors, CCD cameras

Showing 5 of 40 publications
Conference Committee Involvement (8)
Radar Sensor Technology XXV
12 April 2021 | Online Only, Florida, United States
Radar Sensor Technology XXIV
27 April 2020 | Online Only, California, United States
Radar Sensor Technology XXIII
15 April 2019 | Baltimore, MD, United States
Radar Sensor Technology XXII
16 April 2018 | Orlando, FL, United States
Radar Sensor Technology XXI
10 April 2017 | Anaheim, CA, United States
Showing 5 of 8 Conference Committees
Course Instructor
SC1191: Quantum Sensors
Quantum sensors are sensing devices that exploit quantum phenomena in such a way that makes them perform substantially better than their classical counterparts. This course uses an information-theoretic approach to identify and explain the basic design principles and potential applications of quantum sensors. A primary goal of the course is to describe those aspects of quantum phenomena that can be harnessed in order to design and develop novel sensing devices. To this end, the course summarizes recent theoretical and experimental results that showcase the feasibility of quantum sensors. In addition, the course compares the theoretical performance of quantum sensors with their classical counterparts in the areas of radar, lidar, photo-detection, magnetometry, and gravimetry.
SC1210: Quantum Computing
Quantum computing, one of the most recent joint ventures between physics and the theory of computation, can be defined as the scientific field whose purpose is to develop hardware and algorithms based on quantum mechanical phenomena. In addition to further advance the mathematical and physical foundations of quantum computing, scientists and engineers who work in this field focus on developing cutting-edge quantum algorithms in areas like artificial intelligence, cryptanalysis, machine learning, database search, chemical simulations, and image processing. The course summarizes recent theoretical and experimental results that showcase the feasibility of large-scale quantum computation. In addition, the course describes the potential applications of quantum computing to signal analysis, sensor fusion, and computer vision.
SC1258: Quantum Cryptography
Quantum cryptography is a scientific and engineering field devoted to harnessing physical objects whose behavior is governed by the rules of quantum mechanics to generate and distribute keys in order to convert ordinary plain text messages into meaningless (codified) messages and vice versa. In this paradigm, safe key distribution relies on the physical properties of quantum-mechanical systems rather than on mathematical conjectures. This course presents a succinct review of key generation & distribution and its role in symmetric and assymetric cryptography protocols, followed by a concise yet complete introduction to the BB84 and E91 quantum key distribution (QKD) protocols (this section comprises the theoretical foundations and several computer simulations of both QKD protocols). We finish this course by showing some real-world applications of QKD protocols.
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