研究目的
Investigating the feasibility of achieving high-resolution optical quantization using an all-normal dispersion silicon nitride ridge waveguide.
研究成果
The study successfully demonstrates a 6-bit quantization resolution using an all-normal dispersion silicon nitride ridge waveguide, with a signal-to-noise ratio of 35.99 dB and an effective number of bits of 5.978. This scheme has potential applications in all-optical signal processing and optical communication systems.
研究不足
The study is based on numerical simulations, and practical implementation may face challenges related to waveguide fabrication and integration into optical systems. The small deviation in the quantization function near 250 W input power indicates a nonlinear relationship that could affect performance.
1：Experimental Design and Method Selection:
The study involves designing a silicon nitride ridge waveguide with all normal dispersion for optical quantization. The methodology includes solving the generalized nonlinear Schr?dinger equation (GNLSE) with the Runge-Kutta algorithm to analyze the supercontinuum generation dynamics.
2：Sample Selection and Data Sources:
A hyperbolic-secant pulse with a full-width at half-maximum (FWHM) of 120 fs is used as the pump source at 1550 nm wavelength.
3：List of Experimental Equipment and Materials:
The waveguide is composed of silicon nitride with silica as the lower cladding and air as the upper cladding. The nonlinear coefficient, loss, and length of the waveguide are set to 2.63 W-1m-1, 1 dBm-1, and 1 cm, respectively.
4：63 W-1m-1, 1 dBm-1, and 1 cm, respectively.
Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: The study involves simulating the spectral broadening with varying input peak powers and analyzing the linear relationship between spectral broadening and input power to achieve 6-bit quantization.
5：Data Analysis Methods:
The performance of the quantization scheme is evaluated by calculating the effective number of bits (ENOB) and signal-to-noise ratio from the simulated transfer function.
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