Because of its superior performance, infrared lasers are frequently employed in medical detection, infrared imaging, gas detection, and space optical communication. This work proposes a new simple energy band structure for radiation at room temperature, based on energy band simulation. The results showed that the components for Ga0.34In0.66As/Al0.68In0.32As, as potential well/base layer, by optimizing the core area, in this simple cascade cycle structure can achieve high - optical gain. By growing two different strain superlattices, the growth rate and composition of superlattices are calculated, and finally the growth of epilayer without mis-matches is realized. AFM analysis sample has good surface morphology.
Photonic chips have great potential for neural network computing due to their fast speed, low power consumption, and parallelism. We propose a quantized neural network modeling method based on microring resonators (MRR). We analyze the optical properties of the MRRs and utilize lasers with different wavelengths as inputs of the neural network. The quantization aware method is adopted to train the neural network, and the stochastic search method is utilized to determine hyperparameters of the network. We transform the network parameters and hyperparameters into MRR parameters to simulate neural network matrix multiplication operations. Finally, we used the Mixed National Institute of Standards and Technology database for testing the proposed model. For 4-, 5-, and 6-bit quantization of weight parameters, we obtain classification accuracies of 94.23%, 94.73%, and 96.11%, respectively. Thus our study demonstrates the feasibility of building a neural network inference system using a microring structure and provides a theoretical support for applying MRRs in neural networks.
An all-fiber Fabry-Perot interferometric sensor is demonstrated both theoretically and experimentally. The proposed structure is designed and fabricated by chemical etching combined with arc discharge welding and tapering. The single-mode fiber (SMF-28) with one end face flattened is inserted vertically into the hydrofluoric acid, then welded with another SMF-28 by arc discharge, to form a bubble by welding and tapering, which exhibits a three-beam interference phenomenon. High-temperature sensitivity of 12.88 pm/°C is obtained at the large temperature range from 50 to 300 °C, with excellent linearity of 0.9956. The Fabry-Perot Interferometer , with low processing cost and high performance, can provide a useful application in temperature sensing prospects.
To achieve low-power convolutional neural networks, we develop a photoelectric hybrid neural network (PHNN), which consists of the optical interference unit (OIU) and field-programmable gate array (FPGA). The OIU composed of Mach–Zehnder interferometers (MZI) arrays, used as convolution kernels, performs multiplication and accumulation operations. The convolution kernel is split and reorganized, forming a new unitary matrix, which reduces MZI quantity. FPGA realizes nonlinear calculation, data scheduling and storage, and phase encoding and modulation. Our PHNN has an accuracy rate of 88.79%, and the energy efficiency ratio is 1.73 times that of traditional electronic products.
The strong photon limiting ability of the resonant cavity makes it a critical general-purpose device. The silicon-based photonic resonant cavity is the most potential high-efficiency, low-cost on-chip solution. The organic combination of mature microelectronic technology and broadband optoelectronic technology in the micro-nano category makes this arrangement a bright future. Fano resonance with the sharp symmetry-broken line shapes occurs when a discrete quantum state interferes with a continuum band of states. Here, we analyze two directly coupled microresonators (a low- Q passive resonator and a high-Q active resonator) using the temporal coupled-mode theory (CMT). High-sensitivity refractometric sensing based on Fano resonance with directly coupled active and passive optical microresonators is investigated theoretically. It is shown that the line shape and amplitude of power transmission spectra is determined by the judgment coefficient and the pump gain of high-Q microresonator. Through modulating the loss rate, pump gain, and the detuning frequency of both cavities, the refractive index sensitivity can be enhanced six order than two directly coupled loss-loss microresonators. As the system response to the slight change of external parameter benefits from the critical behavior, ultrahigh-sensitivity refractometric sensing could be realizable due to the mechanism achieving a large slope with a relatively high extinction ratio. Our scheme is valuable for various applications of refractometric sensing in the future.
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