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International Journal of Solid State Innovations & Research Review Article

Photonic-Assisted Spintronic Solid-State Switching Model for High-Speed Memory Devices

  1. Bibhu Prasad Ganthia Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal
  2. Rosalin Pradhan Department of Electrical Engineering, Indira Gandhi Institute of Technology, Sarang, Dhenkanal

Abstract

The rapid advancement of high-speed computing and data-centric applications has intensified the demand for energy-efficient and ultra-fast memory technologies. This paper proposes a Photonic-Assisted Spintronic Solid-State Switching Model for next-generation high-speed memory devices. The proposed framework integrates photonic excitation mechanisms with spintronic switching dynamics to enhance data transfer speed, minimize switching delay, and reduce power dissipation in solid-state memory architectures. By combining optical pulse-assisted spin polarization with magnetic tunnel junction-based switching, the model achieves improved switching stability and enhanced thermal reliability under high-frequency operational conditions. The study employs a hybrid analytical and simulation-driven approach to evaluate switching efficiency, propagation latency, spin coherence retention, and energy consumption characteristics. Experimental modelling demonstrates that the proposed photonic-assisted architecture significantly outperforms conventional CMOS-based memory switching systems in terms of access speed, energy efficiency, and scalability. Furthermore, the integration of photonic control signals reduces electromagnetic interference and improves operational accuracy for high-density memory applications. The proposed model offers promising potential for future artificial intelligence processors, neuromorphic computing systems, quantum-inspired storage architectures, and ultra-fast embedded electronic platforms requiring reliable and low-power memory operation. For next-generation nanoelectronics memory systems operating in high-speed and energy-constrained computational environments with enhanced reliability and long-term operational stability, the suggested architecture supports scalable implementation, improves switching synchronisation, and strengthens signal integrity.

Keywords

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