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Electro-optic hybrid computing is a key research topic in high-performance computing. AND, OR and NON are the most basic computing units. Logic units, which are composed of a Mach Zehnder interferometer (MZI) and a micro ring resonator (MRR), have the issues of large size and poor thermal stability. To solve these problems, this paper discusses the design of AND, OR and NON basic logic units in compact electro-optic logics based on the principle of silicon-based hybrid surface plasmon polariton waveguides. By optimizing the parameters with the Finite Difference-Time Domain (FDTD), the simulation results show that the maximum insertion loss (IL) of the AND, OR and NON logic units is 5.1 dB, and the extinction ratio (ER) is at least 14.3 dB. The experimental simulation results provide a theoretical basis for the design of an electro-optic logic gate derived from a silicon-based hybrid surface plasmon polariton waveguide.

The performance of electro-optic modulators and optical routers and their routing algorithms are the key factors affecting the performance of networks on optical chips. This paper improves the mesh 3-dimensional photonic network-on-chip (3D-PNoC) topology. An SPP hybrid silicon-based electro-optic modulator and an improved fault-tolerant SPP router are used to improve the performance of the network on an optical chip. SPP switching and SPP MRR are combined to form a fault-tolerant SPP router. On this basis, an improved genetic optimization routing algorithm is implemented on the improved mesh 3D PNoC topology, which completes the data exchange of the IP core of the network on the optical chip. Compared with the case of traditional optoelectronic devices, the performance of on-chip optical networks can be improved effectively. The simulation results show that upon the application of the improved genetic optimization routing algorithm to the improved mesh 3D PNoC topology, the average end-to-end delay is reduced by 32.9%, the throughput rate is increased by 28.5%, and the system power consumption is reduced by 27.6%. On the other hand, the average insertion loss and noise of optical routers are increased by 2.94 dB and 2.95 dB, respectively.

This paper presents an improved ant colony optimization algorithm (ACO algorithm) based on Ito differential equations, the proposed algorithm integrates the versatility of Ito thought with the accuracy of ACO algorithm in solving the vehicle routing problem (VRP), and it executes simultaneous move and wave process, and employs exercise ability to unify move and wave intensity. Move and wave operator rely on attractors and random perturbations to set the motion direction. In the experiment part, this improved algorithm is implemented for solving vehicle routing problem with soft time windows (VRPSTW), and tested by Solomon Benchmark standard test dataset, the result shows that the proposed algorithm is effective and feasible.