Abstract <p>The manuscript includes the analysis and implementation of compact XOR and XNOR gates all-optically using microring resonator. Research on simultaneous logic and its inverse operation in a single circuit is crucial and productive in the field of optical computing. In addition, energy-efficient circuits are becoming more and more crucial. XOR and XNOR logic gates are designed and analyzed at about 260 Gbps using MATLAB. The same design has also been verified by “Ansys Lumerical finite difference time domain (FDTD)” software. Footprint of the FDTD design is only 47.7 μm × 18.8 μm. This proposed XOR and XNOR are particularly useful for digital signal processing because of its small architecture and faster response times. The evaluation and analysis of a few performance-indicating variables includes “extinction ratio”, “contrast ratio”, “amplitude modulation”, “on-off ratio”, and “relative eye opening”. Optimized design parameters are chosen to implement the design experimentally.</p>

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Design and Analysis of Compact All-Optical XOR and XNOR Gates Employing Microring Resonator

  • Manjur Hossain

摘要

Abstract

The manuscript includes the analysis and implementation of compact XOR and XNOR gates all-optically using microring resonator. Research on simultaneous logic and its inverse operation in a single circuit is crucial and productive in the field of optical computing. In addition, energy-efficient circuits are becoming more and more crucial. XOR and XNOR logic gates are designed and analyzed at about 260 Gbps using MATLAB. The same design has also been verified by “Ansys Lumerical finite difference time domain (FDTD)” software. Footprint of the FDTD design is only 47.7 μm × 18.8 μm. This proposed XOR and XNOR are particularly useful for digital signal processing because of its small architecture and faster response times. The evaluation and analysis of a few performance-indicating variables includes “extinction ratio”, “contrast ratio”, “amplitude modulation”, “on-off ratio”, and “relative eye opening”. Optimized design parameters are chosen to implement the design experimentally.