Programmable optical filters based on feed-forward photonic meshes

Abstract We demonstrate an integrated photonic circuit based on feed-forward photonic meshes that may be reconfigured to perform a wide range of spectral filter functions in a programmable way. We investigate a subset of the available filter functions, demonstrating that a $${\rm{N}}=4$$ N = 4 input triangular mesh with $${\rm{M}}=3$$ M = 3 layers may be operated via self-configuration algorithms to filter M arbitrary wavelengths from a given input spectrum. The tunable nature of the architecture enables preconfigured filter functions to be swept in the spectral domain continuously over the free spectral range of the device. This removes any strict requirements between the design parameters of the architecture and the center wavelength of a desired filter function. With this architecture, we experimentally demonstrate arbitrary wavelength rejection filters with contrasts as deep as 40 dB. Further, by intentionally selecting the center wavelengths of each filter function to lie along a wavelength grid defined by $$\Delta {\rm{\lambda }}={{\rm{\lambda }}}_{{\rm{fsr}}}/{\rm{N}}$$ Δ λ = λ fsr / N we demonstrate deep wavelength division demultiplexing (DWDM) with inter-channel crosstalk between −25 dB and −40 dB. Unlike typical DWDM systems, in this architecture the center wavelength of each channel is not fixed at fabrication and instead may be programmatically defined. This device demonstrates advantages over typical methods for DWDM, Raman spectroscopy, and correlation spectroscopy as well as other applications.

Authors

Institutions

Publication Details

Journal
Light Science & Applications
Published
2026-08-19
DOI
https://doi.org/10.1038/s41377-026-02461-9
Citations
2
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
5.12

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Programmable optical filters based on feed-forward photonic meshes

Carson Valdez, Shanhui Fan, Marek Vlk, Charles Roques‐Carmes et al.
2 citations
Light Science & Applications
Photonic and Optical Devices
5.12
article

Programmable optical filters based on feed-forward photonic meshes

Carson Valdez, Shanhui Fan, Marek Vlk, Charles Roques‐Carmes, David A. B. Miller, Anne R. Kroo, Olav Solgaard
article en
2 citations

Abstract

Abstract We demonstrate an integrated photonic circuit based on feed-forward photonic meshes that may be reconfigured to perform a wide range of spectral filter functions in a programmable way. We investigate a subset of the available filter functions, demonstrating that a $${\rm{N}}=4$$ N = 4 input triangular mesh with $${\rm{M}}=3$$ M = 3 layers may be operated via self-configuration algorithms to filter M arbitrary wavelengths from a given input spectrum. The tunable nature of the architecture enables preconfigured filter functions to be swept in the spectral domain continuously over the free spectral range of the device. This removes any strict requirements between the design parameters of the architecture and the center wavelength of a desired filter function. With this architecture, we experimentally demonstrate arbitrary wavelength rejection filters with contrasts as deep as 40 dB. Further, by intentionally selecting the center wavelengths of each filter function to lie along a wavelength grid defined by $$\Delta {\rm{\lambda }}={{\rm{\lambda }}}_{{\rm{fsr}}}/{\rm{N}}$$ Δ λ = λ fsr / N we demonstrate deep wavelength division demultiplexing (DWDM) with inter-channel crosstalk between −25 dB and −40 dB. Unlike typical DWDM systems, in this architecture the center wavelength of each channel is not fixed at fabrication and instead may be programmatically defined. This device demonstrates advantages over typical methods for DWDM, Raman spectroscopy, and correlation spectroscopy as well as other applications.

Light Science & ApplicationsVol. 15(1)
UiT The Arctic University of Norway (NO), Stanford University (US)
Ames Research Center, Stanford Engineering, H2020 Marie Skłodowska-Curie Actions
Openalex Percentile: Top 8%
Photonic and Optical Devices
5.12
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.