公开(公告)号：US20250111218A1

公开(公告)日：2025-04-03

申请号：US18863245

申请日：2023-05-15

Applicant: Massachusetts Institute of Technology

Inventor： Zaijun Chen ,  Ryan HAMERLY ,  Dirk Robert ENGLUND

IPC: G06N3/067

Abstract: The exponential growth in deep learning models is challenging existing computing hardware. Optical neural networks (ONNs) accelerate machine learning tasks with potentially ultrahigh bandwidth and nearly no loss in data movement. Scaling up ONNs involves improving scalability, energy efficiency, compute density, and inline nonlinearity. However, realizing all these criteria remains an unsolved challenge. Here, we demonstrate a three-dimensional spatial time-multiplexed ONN architecture based on dense arrays of microscale vertical cavity surface emitting lasers (VCSELs). The VCSELs, coherently injection-locked to a leader laser, operate at gigahertz data rates with a 7T-phase-shift voltage on the 10-millivolt level. Optical nonlinearity is incorporated into the ONN with no added energy cost using coherent detection of optical interference between VCSELs.