8 papers
Photonic Extreme Learning Machines using Event-Based detection
Vicente Rocha, Tomas Lopes, Joana Teixeira +3
Photonic extreme learning machines use random optical propagation, detection nonlinearity, and a trained linear readout for energy-efficient and scalable optical computing. However…
Towards Neuromorphic Event-Based Sensing for High-Speed Multi-Spectral Classification and Tracking of Microparticles
Joana M. Teixeira, Tomás Lopes, Tiago D. Ferreira +3
Conventional image-based microfluidic systems face an inherent trade-off between throughput, imaging speed, and data bandwidth, limiting their ability to monitor high-velocity flow…
All-optical Edge Computing for Speckle Sensing Interrogation
Tomás Lopes, Joana M. Teixeira, Tiago D. Ferreira +3
Speckle-based sensing exploits the rich environmental information of its high-dimensional spatial intensity patterns. However, the requirement for camera-based acquisition and subs…
Quantum Imaging of Birefringent Samples using Hong-Ou-Mandel Interference
Carolina Gonçalves, Tiago D. Ferreira, Catarina S. Monteiro +1
Two-photon interference in a Hong-Ou-Mandel (HOM) interferometer can be used as a quantum sensing mechanism due to the sensitivity of the interference dip to perturbations of the p…
Probing a theoretical framework for a Photonic Extreme Learning Machine
Vicente Rocha, Duarte Silva, Felipe C. Moreira +3
The development of computing paradigms alternative to von Neumann architectures has recently fueled significant progress in novel all-optical processing solutions. In this work, we…
Event-based Speckle Interrogation for High-Bandwidth Multi-point Optical Fiber Sensing
Tomás Lopes, Joana Teixeira, Vicente V. Rocha +4
Speckle-based fiber optic sensors are well-known to offer high sensitivity but are strongly limited on the interrogation side by low camera frame rates and dynamic range. To addres…