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Nontrapping Tunable Topological Photonic Memory

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arxiv 2502.19398 v1 pith:2XJI3FNQ submitted 2025-02-26 physics.optics

classification physics.optics
keywords memoryphotonicchernsystemtopologicalenergyinformationnontrapping
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Optical Physics-Based Generative Models

    physics.optics 2025-06 reject novelty 4.0 of 10

    Optical wave equations are claimed to work as generative models with big efficiency gains, but the derivations contain algebraic sign errors and the reported FID scores are mutually inconsistent.

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