Li Haoyu, Yang Ruisheng, Zhang Yinan, Dou Linyuan, Luo Yijie, Liang Haigang, Fan Yuancheng, Wei Zeyong
Institute of Precision Optical Engineering, School of Physics Science and Engineering, Tongji University Shanghai 200092 China
MOE Key Laboratory of Advanced Micro-Structured Materials Shanghai 200092 China.
RSC Adv. 2024 Jun 7;14(26):18311-18316. doi: 10.1039/d4ra02001d. eCollection 2024 Jun 6.
Owing to the inherent advantages of parallelism, rapid processing speed, and minimal energy consumption, optical analog computing has witnessed a progressive development. Quantum optical computing exceeds the capabilities of classical computing in terms of computational speed in numerous tasks. However, existing metamaterial-based quantum Deutsch-Jozsa (DJ) algorithm devices have large structural dimensions and are not suitable for miniaturized optical computing systems. Furthermore, most reported on-chip metasurface devices, rendered monofunctional after fabrication, do not possess sophisticated optical systems. In this work, we develop an electrically tunable on-chip DJ algorithm device on a lithium-niobate-on-insulator (LNOI) platform. The on-chip device consists of various etched slots, each with carefully designed size. By applying different external voltages to each individual unit, precise phase redistribution across the device is attainable, enabling the realization of tunable DJ algorithm. Notably, we can determine whether the oracle metasurface yields a constant or balance function by measuring the output electric field. The on-chip device is miniaturized and easy to integrate while enabling functional reconfiguration, which paves the way for numerous applications in optical computing.
由于并行性、快速处理速度和最低能耗等固有优势,光学模拟计算得到了不断发展。量子光学计算在众多任务的计算速度方面超越了经典计算的能力。然而,现有的基于超材料的量子德乔萨(DJ)算法器件结构尺寸较大,不适用于小型化光学计算系统。此外,大多数报道的片上超表面器件在制造后功能单一,不具备复杂的光学系统。在这项工作中,我们在绝缘体上铌酸锂(LNOI)平台上开发了一种电可调片上DJ算法器件。该片上器件由各种蚀刻槽组成,每个蚀刻槽都有精心设计的尺寸。通过向每个单独单元施加不同的外部电压,可以在整个器件上实现精确的相位重新分布,从而实现可调DJ算法。值得注意的是,我们可以通过测量输出电场来确定预言机超表面产生的是常数函数还是平衡函数。该片上器件体积小且易于集成,同时还能实现功能重新配置,为光学计算中的众多应用铺平了道路。