Smart Quantum Imaging

Ebrahim Karimi

doi:10.1117/12.2603527

15 July 2021 Smart Quantum Imaging

Ebrahim Karimi

Proceedings Volume 11844, Photonics for Quantum 2021; 118440H (2021) https://doi.org/10.1117/12.2603527
Event: Photonics for Quantum, 2021, Online Only

Abstract

The use of quantum properties of light has paved new avenues in the field of imaging. Quantum illumination and ghost-imaging protocols have shown exciting promise in addressing the issues inherent in classical imaging, such as background noise and a high level of required illumination. Moreover, quantum metrological schemes analyzing the modal content of light would address the resolution limits of direct imaging, promising enhancement beyond the Rayleigh limit. Augmenting these novel techniques with machine learning, particularly deep learning architectures such as Convolutional Neural Networks (CNNs), one strives to see significant improvements in image reconstruction and object identification in quantum imaging protocols. In my talk, I present recent progress and development on reconstructing the image of different objects with quantum sources, employing a high degree of spatial correlation between photon pairs and autoencoder deep learning architecture.

Conference Presentation

Citation Download Citation

Ebrahim Karimi "Smart Quantum Imaging", Proc. SPIE 11844, Photonics for Quantum 2021, 118440H (15 July 2021); https://doi.org/10.1117/12.2603527

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