English

Nontrapping Tunable Topological Photonic Memory

Optics 2025-02-27 v1

Abstract

We propose a novel topological photonic memory that encodes information through dynamically controllable Chern numbers in a two-band topological photonic system. Utilizing a honeycomb lattice photonic crystal, the memory leverages topologically protected edge states that remain robust against fabrication imperfections and environmental perturbations. By applying a synthetic time-dependent magnetic field, we achieve real-time tunability of the Chern number, enabling rapid and efficient memory switching without the need for light-trapping mechanisms. Our computational study evaluates critical performance metrics, including write speed, read stabilization time, energy gap stability, and nonadiabatic transition probabilities. The results demonstrate that the system supports GHz-range write speeds (approximately 1-10 GHz), with stable data retention due to the large energy gap between bands. The system enables scalable multi-bit memory encoding based on quantized Chern numbers and exhibits superior speed, fault tolerance, and robustness compared to conventional photonic memory architectures. This work introduces a scalable, high-speed, and nontrapping optical memory paradigm, paving the way for future applications in quantum information processing and optical communication technologies.

Keywords

Cite

@article{arxiv.2502.19398,
  title  = {Nontrapping Tunable Topological Photonic Memory},
  author = {Amirreza Ahmadnejad and Somayyeh Koohi and Abolhassan Vaezi},
  journal= {arXiv preprint arXiv:2502.19398},
  year   = {2025}
}
R2 v1 2026-06-28T21:59:05.745Z