Skip to content

ARTICLE SUMMARY / 2025

Field-programmable photonic nonlinearity

T. Wu, Y. Li, L. Ge & L. Feng

Nature Photonics · 19, 725–732

Summary

Can photonic programmability include nonlinear input–output functions?

Controls carrier excitation and dynamics in an active semiconductor to build polynomial optical responses.

Demonstrates reconfigured nonlinear connections and in-situ training.

Commentary

System costs include excitation, control, readout and training; optical latency alone is not a complete benchmark.

Complements VCSEL spiking: both use active dynamics, but encode computation differently.

Interpretation and connections in this note, separate from the authors’ reported findings.

Related modelling approaches

Relation labels come from the method guide and are editorial. Unlabelled links are conceptual connections or comparison methods; the paper does not necessarily implement them.

CONNECTIONS

Related notes

READ ALONGSIDE IT

Related reading notes

2025 / Experiment

Photonic spiking neural network built with a single VCSEL for high-speed time series prediction

Dafydd Owen-Newns, Lina Jaurigue, Joshua Robertson, Andrew Adair, Jonnel Anthony Jaurigue, Kathy Lüdge & Antonio Hurtado

Uses a single-VCSEL spiking-network architecture with temporally separated inputs that provide memory.

Summary & commentary : Photonic spiking neural network built with a single VCSEL for high-speed time series prediction
2023 / Theory & simulation

Spin vertical-cavity surface-emitting lasers with linear gain anisotropy: Prediction of exceptional points and nontrivial dynamical regimes

M. Drong, J. Peřina Jr., T. Fördös, H. Y. Jaffrès, K. Postava & H.-J. Drouhin

Extends the spin-flip model and studies polarization dynamics near exceptional points.

Summary & commentary : Spin vertical-cavity surface-emitting lasers with linear gain anisotropy: Prediction of exceptional points and nontrivial dynamical regimes