基于非对称光响应MIMO元表面处理器的并行光计算
Parallel Optical Computing Based on MIMO Metasurface Processors with Asymmetric Optical Response
摘要：
我们提出了一种偏振不敏感的超颖表面处理器来执行入射光束的空间非对称滤波，从而允许实时并行光学处理。为了实现大规模并行处理，我们引入了一种新的多输入多输出（MIMO）计算元表面，具有不对称的光学响应，可以对两个不同的输入信号进行空间微分，而不管它们的偏振。在我们的场景中，两个不同的信号设置在x和y方向上，平行和垂直于入射平面，同时照射元表面处理器，并且所产生的差分信号通过适当的空间低通滤波器（SLPF）彼此分离。利用广义片层跃迁条件（GSTCs）和表面磁化率张量，设计了一种非对称元原子，并对其进行了法向磁化率的增强，以实现在法向光照射下的非对称光学响应.还报告了原理验证模拟以及信号处理功能的成功实现。所提出的元表面克服了以前的研究所施加的主要缺点，如大型架构所产生的需要额外的子块，响应慢，最重要的是，只支持一个单一的输入与给定的极化。我们的研究结果为基于材料的模拟计算的未来发展奠定了基础，这些模拟计算使用高效且易于制造的MIMO处理器来实现紧凑，快速和可集成的计算元件，而无需任何傅立叶透镜。
英文摘要：
We present a polarization-insensitive metasurface processor to perform spatial asymmetric filtering of an incident optical beam, thereby allowing for real-time parallel optical processing. To enable massive parallel processing, we introduce a novel Multi Input-Multi Output (MIMO) computational metasurface with an asymmetric optical response that can perform spatial differentiation on two distinct input signals regardless of their polarization. In our scenario, two distinct signals set in x and y directions, parallel and perpendicular to the incident plane, illuminate simultaneously the metasurface processor, and the resulting differentiated signals are separated from each other via appropriate Spatial Low Pass Filters (SLPF). By leveraging Generalized Sheet Transition Conditions (GSTCs) and surface susceptibility tensors, we design an asymmetric meta-atom augmented with normal susceptibilitiesto reach asymmetric optical response at normal beam illumination. Proof-of-principle simulations are also reported along with the successful realization of signal processing functions. The proposed metasurface overcomes major shortcomings imposed by previous studies such as large architectures arising from the need of additional subblocks, slow responses, and most importantly, supporting only a single input with a given polarization. Our results set the path for future developments of material-based analog computing using efficient and easy-to-fabricate MIMO processors for compact, fast, and integrable computing elements without any Fourier lens.
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