activity
20232025
most citedDynamic Control of Spontaneous Emission Using Magnetized InSb Higher-Order-Mode Antennas

6 citations · 11 across the 7 of their papers we have counts for

collaborators

7 papers

physics.optics2025

Optical Physics-Based Generative Models

Amirreza Ahmadnejad, Somayyeh Koohi

This paper establishes a comprehensive mathematical framework connecting optical physics equations to generative models, demonstrating how light propagation dynamics inspire powerf…

physics.optics2025

All-Optical Doubly Resonant Cavities for ReLU Function in Nanophotonic Deep Learning

Amirreza Ahmadnejad, Mohmmad Mehrdad Asadi, Somayyeh Koohi

We present a novel approach to implementing all-optical Rectified Linear Unit (ReLU) activation functions using compact doubly-resonant cavities with dimensions of approximately $1…

physics.optics2025

Nontrapping Tunable Topological Photonic Memory

Amirreza Ahmadnejad, Somayyeh Koohi, Abolhassan Vaezi

We propose a novel topological photonic memory that encodes information through dynamically controllable Chern numbers in a two-band topological photonic system. Utilizing a honeyc…

cs.LG2024

Training Large-Scale Optical Neural Networks with Two-Pass Forward Propagation

Amirreza Ahmadnejad, Somayyeh Koohi

This paper addresses the limitations in Optical Neural Networks (ONNs) related to training efficiency, nonlinear function implementation, and large input data processing. We introd…

quant-ph2023★ 6 cited

Dynamic Control of Spontaneous Emission Using Magnetized InSb Higher-Order-Mode Antennas

Sina Aghili, Rasoul Alaee, Amirreza Ahmadnejad +5

We exploit InSb's magnetic-induced optical properties to propose THz sub-wavelength antenna designs that actively tune the radiative decay rates of dipole emitters at their proximi…

physics.optics2023★ 4 cited

Free-Space Optical Spiking Neural Network

Reyhane Ahmadi, Amirreza Ahmadnejad, Somayyeh Koohi

Neuromorphic engineering has emerged as a promising avenue for developing brain-inspired computational systems. However, conventional electronic AI-based processors often encounter…