Full-Stack Pre-Tapeout Verification of a WDM Bipolar Photonic Attention Accelerator

We present a complete pre-tapeout verification of a photonic dot-product engine for Transformer attention, built on a WDM bipolar Mach-Zehnder interferometer (MZI) mesh in silicon photonics (500nm waveguides, SiO2 cladding, 1.55um). The verification stack spans five layers: algorithm-level robustness (worst-case Spearman rho >= 0.977), device-physics FDTD (rho = 0.999833 vs ideal sin^2), process-corners Monte Carlo (N=500, 100% yield), gdsfactory layout (3.62 mm^2), and downstream task impact (0.04% process noise accuracy loss). All code and data at github.com/administere/photonic-attention. 全产业AI替代之后的光子注意力加速器流片前全栈验证。包含算法鲁棒性、 器件物理FDTD、工艺角蒙特卡洛、版图、下游任务五层验证。全部通过。