Vázquez María Ramos, Bharadwaj Vibhav, Sotillo Belén, Lo Shu-Zee A, Ramponi Roberta, Zheludev Nikolay I, Lanzani Guglielmo, Eaton Shane M, Soci Cesare
Opt Express. 2018 Jan 22;26(2):702-710. doi: 10.1364/OE.26.000702.
Cognitive photonic networks are researched to efficiently solve computationally hard problems. Flexible fabrication techniques for the implementation of such networks into compact and scalable chips are desirable for the study of new optical computing schemes and algorithm optimization. Here we demonstrate a femtosecond laser-written optical oracle based on cascaded directional couplers in glass, for the solution of the Hamiltonian path problem. By interrogating the integrated photonic chip with ultrashort laser pulses, we were able to distinguish the different paths traveled by light pulses, and thus infer the existence or the absence of the Hamiltonian path in the network by using an optical correlator. This work proves that graph theory problems may be easily implemented in integrated photonic networks, down scaling the net size and speeding up execution times.
人们对认知光子网络进行了研究，以有效解决计算难题。将此类网络集成到紧凑且可扩展芯片中的灵活制造技术，对于研究新型光学计算方案和算法优化而言是很有必要的。在此，我们展示了一种基于玻璃中级联定向耦合器的飞秒激光写入光学预言机，用于解决哈密顿路径问题。通过用超短激光脉冲询问集成光子芯片，我们能够区分光脉冲所走的不同路径，从而利用光学相关器推断网络中哈密顿路径的存在与否。这项工作证明，图论问题可以很容易地在集成光子网络中实现，缩小网络规模并加快执行时间。
