We introduced a Python-based design framework for manufacture-friendly optical ANN. It provides the cross-level interoperability between the photonic circuit chip layout and the neural networks infrastructure to enable the optical ANN with better tolerance to the device-by-device or chip-by-chip deviation. It allows a wide range of abstract on levels to describe the behavior of optical ANN: from the lowest-level functionality of manipulating the properties and arrangement of individual phase shifters on a photonic circuit chip, to the highest-level features of designing optical ANN via PyTorchlike development-library as well as its optimization with the well-established machine learning algorithms such as backpropagation. On all the levels, the physical design of the photonic circuit chip can be integrated and synchronized with the construction of the neural networks accounting the influences of the fabrication-deviation with the assistance of IPKISS, a Python-based tool for photonic circuit design. As a demonstration, we use our framework to design the LeNet-5 networks, which can be executed on the photonic circuit chip with non-uniformed grating coupling efficiency. Our LeNet-5 networks achieves the precision around 97.5% for MNIST task.
Here we present a plasmonic memristor operated at the telecommunication wavelength with compact size (0.61 μm), and high extinction efficiency (4.6 dB/μm). The plasmonic memristor consists of a triangle-shaped metal taper mounted on the top of a Si waveguide with rational doping in the area below the apex of the taper. This device can achieve vertical coupling of light energy from the Si waveguide to the plasmonic region and at the same time concentrates the plasmon to the apex of the metal taper. Moreover, the area with concentrated plasmon is overlap with that where the memristive behavior occurs due to the formation/removal of the metallic nanofilament. As a result, the highly distinct transmission induced by the switching of the plasmonic memristor can be achieved due to the maximized interaction between the plasmon and the filament.
In this paper, the evolution of temporal soliton is investigated analytically when a laser pulse propagates in the inhomogeneous nonlinear medium with a Scarff II parity-time (PT)-symmetric potential. After a detailed analyzing the evolution of the intensity and pulse width (PW) of a temporal soliton, it is find that the chirped-free and chirped temporal soliton are stable when the dispersion coefficient is a periodic modulated function. When the dispersion coefficient are the constant and the exponential decreasing function, the chirped-free temporal soliton is stable, while the chirped temporal soliton is gradually compressed.
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