Dr. Marco O. Lanzagorta
Research Scientist at U S Naval Research Lab
SPIE Involvement:
Conference Program Committee | Author | Instructor
Publications (37)

PROCEEDINGS ARTICLE | May 2, 2017
Proc. SPIE. 10200, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVI
KEYWORDS: Superposition, Detection and tracking algorithms, Sensors, Computing systems, Sensor networks, Chemical elements, Sensor fusion, Active sensors, Quantum networks, Quantum information, Quantum communications, Quantum computing, Data fusion

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Target detection, Radar, Photon polarization, Polarization, Scattering, Particles, Magnetism, Clouds, Quantization, Visibility

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Radar, Signal to noise ratio, Photodetectors, Imaging systems, Sensors, Signal attenuation, Photons, Detector arrays, Navigation systems, Underwater imaging, Signal detection, Quantum information, Global Positioning System, Quantum imaging systems

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Radar, Signal to noise ratio, Photodetectors, Sensors, Synthetic aperture radar, Antennas, Spatial resolution, Microwave radiation, Signal detection, Quantum information, Device simulation

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Radar, Interferometers, Sensors, Signal attenuation, Satellites, Synthetic aperture radar, Forensic science, Interferometry, Earthquakes, Geodesy, Motion models, Systems modeling, Quantum information, Quantum communications, Global Positioning System

PROCEEDINGS ARTICLE | May 1, 2017
Proc. SPIE. 10188, Radar Sensor Technology XXI
KEYWORDS: Target detection, Photodetectors, Imaging systems, Cameras, Sensors, Signal attenuation, Photons, CCD cameras, CCD image sensors, Environmental sensing

Showing 5 of 37 publications
Conference Committee Involvement (6)
Radar Sensor Technology XXIII
14 April 2019 | Baltimore, Maryland, United States
Radar Sensor Technology XXII
16 April 2018 | Orlando, Florida, United States
Radar Sensor Technology XXI
10 April 2017 | Anaheim, California, United States
Radar Sensor Technology XX
18 April 2016 | Baltimore, Maryland, United States
Active and Passive Signatures VI
22 April 2015 | Baltimore, Maryland, United States
Showing 5 of 6 published special sections
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.
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