Abstract Details

Dhruv Saxena
Postdoctoral Researcher at Queen Mary University of London

Dhruv Saxena
Abstract Name:
Semiconductor network lasers for on-chip signal processing and machine vision
Symposium:
Symposium C: Electronic & Photonic Devices
Topic:
C2: Coherent & Incoherent Sources
Abstract Contributing Authors:
Dhruv Saxena, Anna Fischer, Jakub Dranczewski, Wai Kit Ng, T. V. Raziman, Alexis Arnaudon, Mauricio Barahona, Will Branford, Jack C. Gartside, Heinz Schmid, Kirsten Moselund, Riccardo Sapienza 1 Blackett Laboratory, Department of Physics, Imperial College London, London, UK 2 Department of Mathematics, Imperial College London, London, UK 3 IBM Research Europe - Zurich, Saumerstrasse 4, Ruschlikon, 8803, Switzerland
Abstract Body:
In this talk I will discuss our work on network random lasers [1-3], which are made from an interconnected network of active photonic waveguides. The network lasers exhibit a rich multi-modal spectrum arising from structural disorder, which is highly sensitive to the pump illumination pattern due to nonlinear mode competition. We exploit this high sensitivity to control the lasing spectrum of the network laser by optimising the pump profile and for image classification, where the pump pattern is predicted from the lasing spectrum.
The network approach for a lasing cavity offers the flexibility to engineer modes via the network topology. I will discuss the design of a semiconductor network laser and the realisation of on-chip network lasers, which are fabricated on bonded Indium Phosphide (InP). These lasers have low lasing thresholds with good emission stability under prolonged pumping, which is essential for practical applications.
[1] Gaio, M. et al. A nanophotonic laser on a graph. Nat. Comm. 10, 226 (2019).
[2] Saxena, D. et al. Sensitivity and spectral control of network lasers. Nat. Comm. 13, 6493 (2022).
[3] Saxena, D. et al. Designed semiconductor network random lasers. Submitted (2024).
Submission Type:
Talk