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Observation of Noise-Assisted Transport in an All-Optical Cavity-Based Network

  Articoli su Riviste JCR/ISI  (anno 2015)

Autori:  Viciani S., Lima M., Bellini M., Caruso F

Affiliazione Autori:  CNR-INO, National Institute of Optics, Largo Fermi 6, I-50125 Firenze, Italy; LENS, European Laboratory for Non-linear Spectroscopy, via Carrara 1, I-50019 Sesto Fiorentino, Italy; Dipartimento di Fisica e Astronomia, Università di Firenze, via Sansone 1, I-50019 Sesto Fiorentino, Italy; QSTAR, Largo Fermi 2, I-50125 Firenze, Italy.

Riassunto:  Recent theoretical and experimental efforts have shown the remarkable and counterintuitive role of noise in enhancing the transport efficiency of complex systems. Here, we realize simple, scalable, and controllable optical fiber cavity networks that allow us to analyze the performance of transport networks for different conditions of interference, dephasing, and disorder. In particular, we experimentally demonstrate that the transport efficiency reaches a maximum when varying the external dephasing noise, i.e., a bell-like shape behavior that had been predicted only theoretically. These optical platforms are very promising simulators of quantum transport phenomena and could be used, in particular, to design and test optimal topologies of artificial light-harvesting structures for future solar energy technologies.

Rivista/Giornale:  PHYSICAL REVIEW LETTERS
Volume n.:  115 (8)      Pagine da: 083601-1  a: 083601-5
Ulteriori informazioni:  The authors gratefully acknowledge fruitful discussions with P. Scudo and R. Fusco. This work was supported by the Future in Research (FIRB) Programme of the Italian Ministry of Education, University and Research (MIUR), under the FIRB-MIUR Grant Agreement No. RBFR10M3SB, and performed in the framework of the ENI Contract No. 3500023215. The work of F. C. has been also supported by a Marie Curie Career Integration Grant within the 7th European Community Framework Programme, under the Grant Agreement QuantumBioTech No. 293449.
DOI: 10.1103/PhysRevLett.115.083601

*Impact Factor della Rivista: (2015) 7.645   *Citazioni: 21
data tratti da "WEB OF SCIENCE" (marchio registrato di Thomson Reuters) ed aggiornati a:  19/05/2019

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