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We will review how to build entanglement distribution networks that are managed and controlled using the classical internet stack. We will also show implementations of these concepts in the Stony Brook - BNL quantum internet testbed.

Authors:Eden Figueroa, SUNY Stony Brook

We show that the Ethernet-based time transfer protocol ‘White Rabbit’ can synchronize two distant quantum-networked nodes to within 4 ps, enabling HOM interference at >90 % visibility using 17.6 ps FWHM single-photons coexisting with White Rabbit.

Authors:Thomas Gerrits, National Inst of Standards & Technology / Ivan Burenkov, National Inst of Standards & Technology / Ya-shian Li-Baboud, National Inst of Standards & Technology / Anouar Rahmouni, National Inst of Standards & Technology / D.M. Anand, National Inst of Standards & Technology / N Hala, National Inst of Standards & Technology / Oliver Slattery, National Inst of Standards & Technology / Abdella Battou, National Inst of Standards & Technology / Sergey Polyakov, National Inst of Standards & Technology

We demonstrate an improved full-field quantum illumination protocol that achieves the rejection of 99.9% of background light. This imaging protocol has applications in covert imaging and quantum LIDAR schemes.

Authors:Thomas Gregory, University of Glasgow / Paul-Antoine Moreau, National Cheng Kung University / Simon Mekhail, University of Glasgow / Osian Wolley, University of Glasgow / Miles Padgett, University of Glasgow

We demonstrate a scalable quantum local area network architecture using White Rabbit timing components. Synchronizing three distant nodes with ultralow timing jitter, we obtain significantly improved entanglement distribution fidelity over previous results with GPS clocks.

Authors:Muneer Alshowkan, Oak Ridge National Laboratory / Philip Evans, Oak Ridge National Laboratory / Brian Williams, Oak Ridge National Laboratory / Nageswara Rao, Oak Ridge National Laboratory / Claire Marvinney, Oak Ridge National Laboratory / Yun-Yi Pai, Oak Ridge National Laboratory / Benjamin Lawrie, Oak Ridge National Laboratory / Nicholas Peters, Oak Ridge National Laboratory / Joseph Lukens, Oak Ridge National Laboratory

Quantum ghost imaging is a promising technique limited by time-efficiency. We implemented novel deep neural networks to enhance and denoise the reconstructed image, and to establish early image recognition leading to 5x faster imaging speeds.

Authors:Chané Moodley, University of the Witwatersrand / Bereneice Sephton, University of the Witwatersrand / Valeria Rodriguez-Fajardo, Colgate University / Andrew Forbes, University of the Witwatersrand