When
Where
Title
Quantum-inspired Imaging and Sensing: Quest for fundamental limits
Abstract
Applications of optical imaging and sensing, such as super-resolution, adaptive optics, spectroscopy, high-contrast imaging (e.g., coronagraphs for exo-planet discovery), LIDAR, three-dimensional imaging, have benefitted from advances in optical materials (e.g., metamaterials/quantum materials), optical system design (e.g., freeform optics/computational imaging), opto-electronics (e.g., DMD/PICs/SNSPDs), and algorithms (e.g., GPU, AI/ML). However, the quest to seek, understand, and eventually approach the fundamental limits of imaging and sensing, subject to the laws of physics, remain a long-standing challenge. In the past two decades, application of quantum information theory (QIT) in this area has revealed several fundamental limits, including optical resolution, wavefront sensing, coronagraphs to name a few. In this talk, I will highlight my research group’s recent work in these areas, especially as it relates to semi-classical sources (e.g., incoherent thermal light sources) such as stellar objects (stars, galaxies) and objects illuminated by ambient light (e.g., satellites, terrestrial object). Specifically, I will discuss both theoretical advances and experimental validations in the areas of optical super-resolution, wavefront sensing (adaptive optics), and high-contrast imaging (coronagraphs) with direct applications in astronomy.
Bio
Dr. Amit Ashok is a Professor in the Wyant College of Optical Sciences and the ECE Department at the University of Arizona and leads the Intelligent Imaging and Sensing Lab (I2SL). His research experience, spanning industry and academia, includes computational imaging and sensing, adaptive optics, Bayesian inference, classical/quantum information theory for measurement design. He has made seminal contributions in information-theoretic optical measurement design optimization spanning RF to visible/Infrared and X-ray, with applications such as multi-modal automatic target detection/recognition, high-contrast imaging and super-resolution imaging. He is a fellow of the Optica and Senior member of the SPIE. He co-founded Quadridox, a startup that focuses on development and commercialization of novel multi-modality X-ray imaging technologies for various applications including security screening, non-destructive testing, and healthcare. Quadridox has developed multi-modality X-ray imaging for aviation security and medical diagnostics, which are in different stages of certification and production.
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