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nicolo.spagnolo@uniroma1.it
Nicolo' Spagnolo
Professore Associato
Struttura:
DIPARTIMENTO DI FISICA
E-mail:
nicolo.spagnolo@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Photonic quantum metrology
AVS QUANTUM SCIENCE
2020
Pattern recognition techniques for boson sampling validation
PHYSICAL REVIEW. X
2019
Experimental engineering of arbitrary qudit states with discrete-time quantum walks
PHYSICAL REVIEW LETTERS
2019
Photonic quantum information processing: a review
REPORTS ON PROGRESS IN PHYSICS
2019
Witnessing genuine multiphoton indistinguishability
PHYSICAL REVIEW LETTERS
2019
The race for quantum supremacy: pushing the classical limit for photonic hardware
NATIONAL SCIENCE REVIEW
2019
Visual assessment of multi-photon interference
QUANTUM SCIENCE AND TECHNOLOGY
2019
Experimental multiphase estimation on a chip
OPTICA
2019
Calibration of quantum sensors by neural networks
PHYSICAL REVIEW LETTERS
2019
Photonic implementation of boson sampling: a review
ADVANCED PHOTONICS
2019
Machine learning for quantum metrology
PROCEEDINGS
2019
Air-core fiber distribution of hybrid vector vortex-polarization entangled states
ADVANCED PHOTONICS
2019
Machine learning for experimental single shot phase estimation
Quantum Information and Measurement (QIM) V: Quantum Technologies
2019
A modular source of entangled photon pairs in femtosecond-laser written waveguide circuits
2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019
2019
Experimental statistical signature of many-body quantum interference
NATURE PHOTONICS
2018
Integrated sources of entangled photons at the telecom wavelength in femtosecond-laser-written circuits
OPTICA
2018
Experimental generalized quantum suppression law in Sylvester interferometers
NEW JOURNAL OF PHYSICS
2018
Hong-Ou-Mandel control through spectral shaping
JOURNAL OF OPTICS
2018
Observation of photonic states dynamics in 3-D integrated Fourier circuits
JOURNAL OF OPTICS
2018
Experimental phase estimation enhanced by machine learning
PHYSICAL REVIEW APPLIED
2018
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Progetti di Ricerca
Validation of Boson Sampling via Machine Learning
Multiphase estimation in multiarm interferometers
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