High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb

• URL: http://arxiv.org/abs/2309.05234v2
• Date: Tue, 12 Sep 2023 03:16:52 GMT
• Title: High-dimensional time-frequency entanglement in a singly-filtered biphoton frequency comb
• Authors: Xiang Cheng, Kai-Chi Chang, Murat Can Sarihan, Andrew Mueller, Maria Spiropulu, Matthew D. Shaw, Boris Korzh, Andrei Faraon, Franco N. C. Wong, Jeffrey H. Shapiro, and Chee Wei Wong
• Abstract summary: High-dimensional quantum entanglement is a cornerstone for advanced technology enabling large-scale noise-tolerant quantum systems. Recently developed biphoton frequency comb (BFC) provides a powerful platform for high-dimensional quantum information processing.
• Score: 4.441222446978085
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: High-dimensional quantum entanglement is a cornerstone for advanced technology enabling large-scale noise-tolerant quantum systems, fault-tolerant quantum computing, and distributed quantum networks. The recently developed biphoton frequency comb (BFC) provides a powerful platform for high-dimensional quantum information processing in its spectral and temporal quantum modes. Here we propose and generate a singly-filtered high-dimensional BFC via spontaneous parametric down-conversion by spectrally shaping only the signal photons with a Fabry-Perot cavity. High-dimensional energy-time entanglement is verified through Franson-interference recurrences and temporal correlation with low-jitter detectors. Frequency- and temporal- entanglement of our singly-filtered BFC is then quantified by Schmidt mode decomposition. Subsequently, we distribute the high-dimensional singly-filtered BFC state over a 10 km fiber link with a post-distribution time-bin dimension lower bounded to be at least 168. Our demonstrations of high-dimensional entanglement and entanglement distribution show the capability of the singly-filtered quantum frequency comb for high-efficiency quantum information processing and high-capacity quantum networks.

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