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International Conference on Transparent Optical Networks

Scalable Quantum Signal Processing with Integrated Photonics and Fiber-based Modules

Nicola Montaut, Piotr Roztocki, Hao Yu, Stefania Sciara, Mario Chemnitz, Y. Jestin, Benjamin MacLellan, Bennet Fischer, Michael Kues, Christian Reimer, Luis Romero Cortés, Benjamin Wetzel, Yanbing Young Zhang, Sébastien Loranger, Raman Kashyap, Alfonso Carmelo Cino, Sai T. Chu, Brent E. Little, David Moss, Lucia Caspani, William J. Munro, José Azaña, Roberto Morandotti

Published Jul 2, 2023• 0 citations
Publisher

Abstract

Quantum photonic resources are critical for advanced applications such as quantum computation, communication, and information processing. Efficient generation and detection of quantum states, as well as reliable photon manipulation techniques, are essential for the development of practical quantum technologies. Integrated photonic platforms offer attractive solutions due to their stability, small device footprint, and improved power efficiencies. However, optical loss and environmental noise hinder their capability to transmit, measure, and detect quantum states with high accuracies. To tackle these limitations, we have developed robust solutions for quantum signal processing by leveraging infrastructures from telecommunications and integrated photonics. These approaches focus on the use of silicon-based photonic sources for entanglement generation in the time and frequency degrees of freedom, as well as chip- and fiber-based architectures for entanglement verification via quantum interference and tomography measurements. Our photonic schemes allow for high-dimensional entanglement processing, demonstrating their versatility in developing scalable and cost-efficient quantum signal processing platforms.

DOI
10.1109/icton59386.2023.10207524

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