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LOCATION:Room 5.2D02
DTSTART;TZID=Europe/Stockholm:20250616T150000
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UID:submissions.pasc-conference.org_PASC25_sess132_msa122@linklings.com
SUMMARY:Integrated Photonics for High-Speed Neuromorphic Processing
DESCRIPTION:Nicola Andriolli (University of Pisa)\n\nAlthough modern optic
 al communications typically rely on digital signals, analog photonics has 
 been an active field of research over the last decades. In parallel, photo
 nics for computing experienced an intermittent research interest. Recent b
 reakthroughs in artificial intelligence have sparked attention in novel co
 mputational frameworks, reigniting interest in analog photonic computing.\
 nThis talk explores the potential of integrated photonics to realize analo
 g photonic accelerators, in particular for machine learning applications. 
 Various integrated photonic devices and system architectures are analyzed,
  exploiting wavelength division multiplexing for weight banks, coherent ph
 otonic crossbar arrays, and photonic-electronic multiply-accumulate neuron
 s. Each architecture offers different advantages and trade-offs in terms o
 f speed, resolution, power consumption, and footprint.\nFocusing on the la
 tter architecture, different photonic integration technologies, including 
 silicon-on-insulator, lithium niobate-on-insulator, and indium phosphide, 
 are reviewed, the results of experimental implementations and the outstand
 ing challenges are discussed, showcasing future prospects in the field of 
 high-speed neuromorphic photonics.\n\nDomain: Engineering\n\nSession Chair
 s: Mauro Bianco (ETH Zurich / CSCS, ETH Zurich) and Nur Aiman Fadel (ETH Z
 urich / CSCS)\n\n
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