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With the continuous development of information technology, the requirements for signal processing in various application scenarios have become higher and higher, and the data capacity has also shown explosive growth. The processing of large amounts of data has become a worldwide problem. However, existing electronic technologies have limitations in terms of speed and power consumption, making it difficult to achieve real-time, high-throughput signal processing. In recent years, with the image spatial differentiation playing an increasingly important role in signal processing and other application fields, and the continuous advancement of micro-nano processing technology, optical analog computing has attracted much attention. It avoids the photoelectric conversion in various application scenarios by directly modulating the optical input in the spatial domain. There are two distinct approaches to realize the optical analog computing, one is based on the 4F optical systems, while the other is metasurface structures based on the Green's function method. Among them, the recently developed dielectric metasurfaces can realize various mathematical operations of optical signals, such as differentiation and integration, and has become one of the most interesting scientific and engineering topics. This paper presents the design of polarization-multiplexed optical analog computing metasurfaces based on the Green's function method. Numerical simulations using the Finite-Difference Time-Domain (FDTD) method were conducted to investigate the performance of the designed metasurfaces. The final single-layer metasurface structure is entirely binary after topological optimization, which can be constructed using titanium dioxide (TiO2) and air. Under different linearly polarized light incidences, this topological metasurface can independently tailor the amplitude and phase of the transmitted light field to achieve spatial optical differentiation functionalities. Two polarization-multiplexed dual-function analog computing metasurfaces were simulated and verified with the computational results meeting the expected design theory. One of them achieves bright-field imaging and one-dimensional second-order differentiation operations in orthogonal polarization states. The other design is a multiplexed differential system that can control the second-order differentiation operation direction in accordance with different orthogonal linear polarization states. For TE-polarized incidence, one-dimensional second-order differentiation is achieved in the x-direction, with no transmission in the y-direction. For TM-polarized incidence, one-dimensional second-order differentiation occurs in the y-direction, with no transmission in the x-direction, enabling the extraction of edge information in different directions for the orthogonal polarization states. These polarization- multiplexed designs can play a role in more optical computing application scenarios.
(a) Schematic of polarization-multiplexed optical analog computing systems. The different inputs of TE and TM polarization will output different operation results; (b) The values of the individual optimization target on the complex amplitude plane; (c) The flowchart of the adjoint optimization
(a)-(e) The topological optimization process of metasurfaces for normal incidence. The final metasurface structure is completely binary after topological optimization. The colorbars represent the dielectric constant distribution of the metasurfaces; (f) The topological optimization results for TM polarization at normal incidence with a single-point target of 0+0i
(a) The selected target points of multi-objective optimization for TM polarization; (b) Optimization results on the complex amplitude plane for TM polarization at points 1, 2, and 3; (c) Optimization process for TM polarization at points 1, 2, and 3; (d) Optimization process for TE polarization at points 1, 2, and 3; (e) The dielectric constant distribution of the metasurface after topological optimization
Simulation results for the polarization-multiplexed optical differentiation operations. The colorbars represent the distribution of the normalized input and the output intensity
(a) Schematic of polarization-controlled differentiation direction. The different input light of TE and TM polarization will achieve differentiation operations in orthogonal polarization direction, respectively; (b) The amplitude transfer function for TE polarization; (c) The amplitude transfer function for TM polarization; (d) The polarization-multiplexed metasurface structure after topological optimization. The colorbar represents the dielectric constant distribution of the metasurface