QD laser

Integrated Photonic Platform for the Edge: Accelerated Computing and Low-Latency Authentication

Zhican Zhou, Ph.D. Student, Electrical and Computer Engineering

Jul 8, 16:00 - 17:30

B4 R5209

photonic computing unit integrated photonics neural network QD laser accelerators low-latency architecture privacy preserving techniques

This dissertation develops integrated photonics as a unified hardware platform for parallel computing and chaos-driven dynamic authentication.

Monolithic integration with QD active medium

Sat, Jul 1 2017 - Wed, Oct 1 2025

QD laser monolithic integration

Direct epitaxial integration of III-V optoelectronic devices on Si offers a substantial manufacturing cost and scalability advantage over heterogeneous integration via wafer bonding.

Heterogeneously Integration

Fri, Jun 1 2018 - Wed, Oct 1 2025

QD laser heterogenouse integration

Heterogeneous integration bonds unpatterned III-V thin films to silicon wafers at the early- to mid-stages with a coarse alignment, and then define devices lithographically on the full wafer scale.

Zhican Zhou

Ph.D. Student, Electrical and Computer Engineering

photonic computing unit integrated photonics neural network QD laser accelerators low-latency architecture privacy preserving techniques

Zhican Zhou's research investigates on-chip laser technologies, heterogeneous photonic/memristor computing systems for AI acceleration, and secure hardware architectures for privacy-preserving data processing.