Silicon Electro-Optic Mach--Zehnder Switch Fabric With Ultralow-Crosstalk

The explosive growth of artificial intelligence (AI) workloads intensifies the demand for high-speed, wide-bandwidth, and energy-efficient optical switches. Silicon Mach-Zehnder interferometer- (MZI-) based switches, driven by the free-carrier dispersion (FCD) effect, are promising candidates for such applications, yet facing inherent challenges from free-carrier absorption (FCA), which limits their crosstalk and scalability. This paper presents a novel electro-optic (E-O) MZI cell that harnesses self-heating effect to mitigate FCA-induced power imbalance. The cell includes a conventional E-O phase shifter on one arm and a p-i-n-junction-based amplitude-only optical attenuator on the other, in which self-heating fully neutralizes the phase shift introduced by carrier injection, leaving only an adjustable loss to match the FCA in the phase shifter arm. A dual-MZI configuration additionally compensates coupling-ratio deviations from fabrication imperfections, enhancing extinction ratios. Monte Carlo simulations verify that this high-extinction-ratio cell can be adopted into various switch topologies, achieving crosstalk levels comparable to those in fully dilated structures, but with much fewer components. An 8 8 double-layer network (DLN) switch prototype is demonstrated with crosstalk of below 40 dB, on-chip loss of as low as 8.5 dB, and switching times of under 100 ns. Moreover, a compact curved tunable directional coupler (CTDC) is developed to further miniaturize the switch footprint. Overall, this work offers a promising solution for advancing scalable, high-performance optical switches in future AI-driven datacenter networks.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-06-20
DOI
https://doi.org/10.17863/cam.119299
Primary Topic
Archaeological Research and Protection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Silicon Electro-Optic Mach--Zehnder Switch Fabric With Ultralow-Crosstalk

Apollo (University of Cambridge)
Archaeological Research and Protection
article

Silicon Electro-Optic Mach--Zehnder Switch Fabric With Ultralow-Crosstalk

article en

Abstract

The explosive growth of artificial intelligence (AI) workloads intensifies the demand for high-speed, wide-bandwidth, and energy-efficient optical switches. Silicon Mach-Zehnder interferometer- (MZI-) based switches, driven by the free-carrier dispersion (FCD) effect, are promising candidates for such applications, yet facing inherent challenges from free-carrier absorption (FCA), which limits their crosstalk and scalability. This paper presents a novel electro-optic (E-O) MZI cell that harnesses self-heating effect to mitigate FCA-induced power imbalance. The cell includes a conventional E-O phase shifter on one arm and a p-i-n-junction-based amplitude-only optical attenuator on the other, in which self-heating fully neutralizes the phase shift introduced by carrier injection, leaving only an adjustable loss to match the FCA in the phase shifter arm. A dual-MZI configuration additionally compensates coupling-ratio deviations from fabrication imperfections, enhancing extinction ratios. Monte Carlo simulations verify that this high-extinction-ratio cell can be adopted into various switch topologies, achieving crosstalk levels comparable to those in fully dilated structures, but with much fewer components. An 8 8 double-layer network (DLN) switch prototype is demonstrated with crosstalk of below 40 dB, on-chip loss of as low as 8.5 dB, and switching times of under 100 ns. Moreover, a compact curved tunable directional coupler (CTDC) is developed to further miniaturize the switch footprint. Overall, this work offers a promising solution for advancing scalable, high-performance optical switches in future AI-driven datacenter networks.

Apollo (University of Cambridge)
Affordable and clean energy
Openalex Percentile: Top 67%
Archaeological Research and Protection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.