超短脉冲
可扩展性
光子学
计算机科学
光子
干涉测量
皮秒
量子计算机
编码(内存)
飞秒
物理
量子信息
粒度
电子线路
量子
光电子学
电子工程
光学
激光器
量子力学
工程类
人工智能
数据库
操作系统
作者
Frédéric Bouchard,Kate Fenwick,Kent Bonsma-Fisher,Duncan England,Philip J. Bustard,Khabat Heshami,Benjamin J. Sussman
标识
DOI:10.1103/physrevlett.133.090601
摘要
We propose a quantum information processing platform that utilizes the ultrafast time-bin encoding of photons. This approach offers a pathway to scalability by leveraging the inherent phase stability of collinear temporal interferometric networks at the femtosecond-to-picosecond timescale. The proposed architecture encodes information in ultrafast temporal bins processed using optically induced nonlinearities and birefringent materials while keeping photons in a single spatial mode. We demonstrate the potential for scalable photonic quantum information processing through two independent experiments that showcase the platform’s programmability and scalability, respectively. The scheme’s programmability is demonstrated in the first experiment, where we successfully program 362 different unitary transformations in up to eight dimensions in a temporal circuit. In the second experiment, we show the scalability of ultrafast time-bin encoding by building a passive optical network, with increasing circuit depth, of up to 36 optical modes. In each experiment, fidelities exceed 97%, while the interferometric phase remains passively stable for several days. Published by the American Physical Society 2024
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