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Angelo Gulinatti

Researcher at Polytechnic University of Milan

Publications -  117
Citations -  3101

Angelo Gulinatti is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Photon counting & Single-photon avalanche diode. The author has an hindex of 29, co-authored 116 publications receiving 2788 citations. Previous affiliations of Angelo Gulinatti include University of Milano-Bicocca & Instituto Politécnico Nacional.

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Progress in Silicon Single-Photon Avalanche Diodes

TL;DR: Silicon single-photon avalanche diodes (SPADs) are nowadays a solid-state alternative to photomultiplier tubes (PMTs) in single photon counting (SPC) and time-correlated singlephoton counting over the visible spectral range up to 1mum wavelength as discussed by the authors.
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Observation of strongly entangled photon pairs from a nanowire quantum dot

TL;DR: This work demonstrates a bright and coherent source of strongly entangled photon pairs from a position-controlled nanowire quantum dot with a fidelity as high as 0.859±0.006 and concurrence of 0.80± 0.02.
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Two-Photon Interference Using Background-Free Quantum Frequency Conversion of Single Photons Emitted by an InAs Quantum Dot

TL;DR: It is shown that quantum frequency conversion (QFC) can overcome the spectral distinguishability common to inhomogeneously broadened solid-state quantum emitters and exhibits nonclassical two-photon interference.
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35 ps time resolution at room temperature with large area single photon avalanche diodes

TL;DR: In this paper, the authors demonstrated that remarkable timing performance is achievable with large area single photon avalanche diodes (SPADs), provided that the avalanche current is sensed at very low level, when the multiplication process is still confined within a small area around the photon absorption point.
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Time-domain diffuse correlation spectroscopy.

TL;DR: The TD-DCS method opens many possibilities for improved non-invasive monitoring of oxygen delivery in humans by operating DCS in the time domain and by applying time-gated strategies to the DCS autocorrelation functions.