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Sb2Se3 Based Non-volatile Memory for Photonic Matrix-Vector Multiplications

  • Mukta Janpandit,
  • Rakshitha Kallega,
  • K. Ramesh,
  • Chetan Singh Thakur,
  • Shankar Kumar Selvaraja

摘要

This work integrates nonvolatile antimony selenide (Sb2Se3) phase shifters onto a Mach-Zehnder interferometer (MZI) for reconfigurable 2 × 2 photonic matrix-vector multiplications (MVMs). The Sb2Se3 phase shifters enable programming via a one-time 500 mW power input, offering significant potential for reducing power consumption when matrix configurations remain fixed. Consequently, it offers promise for the development of energy-efficient photonic accelerators for machine learning applications. Through comprehensive device characterization and genetic algorithm fitting, we achieved a normalized mean square error of 0.0494 between measured data and the ideal MZI model, validating the reliable implementation of programmable matrix multiplications on this platform.