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Title: Optical NP problem solver on laser-written waveguide platform
Authors: Vázquez, María Ramos
Bharadwaj, Vibhav
Sotillo, Belén
Lo, Shu-Zee Alencious
Ramponi, Roberta
Zheludev, Nikolay I.
Lanzani, Guglielmo
Eaton, Shane M.
Soci, Cesare
Keywords: DRNTU::Science::Physics
Parallel Processing
Glass And Other Amorphous Materials
Issue Date: 2018
Source: Vázquez, M. R., Bharadwaj, V., Sotillo, B., Lo, S.-Z. A., Ramponi, R., Zheludev, N. I., . . . Soci, C. (2018). Optical NP problem solver on laser-written waveguide platform. Optics Express, 26(2), 702-. doi:10.1364/OE.26.000702
Series/Report no.: Optics Express
Abstract: Cognitive photonic networks are researched to efficiently solve computationally hard problems. Flexible fabrication techniques for the implementation of such networks into compact and scalable chips are desirable for the study of new optical computing schemes and algorithm optimization. Here we demonstrate a femtosecond laser-written optical oracle based on cascaded directional couplers in glass, for the solution of the Hamiltonian path problem. By interrogating the integrated photonic chip with ultrashort laser pulses, we were able to distinguish the different paths traveled by light pulses, and thus infer the existence or the absence of the Hamiltonian path in the network by using an optical correlator. This work proves that graph theory problems may be easily implemented in integrated photonic networks, down scaling the net size and speeding up execution times.
DOI: 10.1364/OE.26.000702
Rights: © 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:IGS Journal Articles
SPMS Journal Articles

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