Monolithic Integration of Piezo-Optomechanical Photonics and CMOS Electronics
Abstract
Next-generation photonic architectures for AI, sensing, and quantum computing require thousands to millions of reprogrammable photonic devices on a chip[1]. The monolithic integration of Electronically-backed Photonic Integrated Circuits (EPICs) allows for very high density electrical interconnection and electronic drivers that can scale with photonics. Piezo-optomechanical photonic integrated circuits (POMPICs) offer low power consumption, high speed modulation, cryogenic compatibility and broadband optical transparency from ultraviolet to infrared wavelengths[2,3], but have not been demonstrated with monolithically integrated CMOS electronics. Here, we show a fully monolithic, all-CMOS fabricated platform for POMPICs co-fabricated with commercial control electronics. 200 millimeter photonic wafers are constructed directly on completed CMOS driver wafers by back-end-of-line processing, connecting integrated piezoelectric actuators under broadband silicon nitride waveguides to a high-density digital backplane comprising >2 million electrical connections per die with 6.4x6.4 micron electrode pitch. We introduce segmented POMPIC components as Photonic Digital-to-Analog converters (PDACs) that convert low-voltage digital electronic signals to multi-bit analog optical phase and amplitude modulation, and we demonstrate parallel control of optical phase shifters, Mach-Zehnder interferometers, optical routing trees, and tunable ring resonators using a standard HDMI interface to program CMOS electronics. We test multiple reticles and perform electronic and photonic characterization across the entire wafer to establish uniformity and yield, demonstrating wafer-scale integration of POMPICs on an electronic backplane and enabling dense, scalable electronic control of piezo-optomechanical circuits.
Keywords
Cite
@article{arxiv.2607.01514,
title = {Monolithic Integration of Piezo-Optomechanical Photonics and CMOS Electronics},
author = {Matthew Zimmermann and Aileen Zhai and Andrew J. Leenheer and Julia Boyle and Mayank Mishra and Daniel Dominguez and Matthew Koppa and Wolf Jehle and Christopher Panuski and Mark Dong and Gerald Gilbert and Dirk Englund and Matt Eichenfield},
journal= {arXiv preprint arXiv:2607.01514},
year = {2026}
}
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14 Pages main text, 1 page methods, 6 Figures