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Stefano Pirandola

Researcher at University of York

Publications -  311
Citations -  18606

Stefano Pirandola is an academic researcher from University of York. The author has contributed to research in topics: Quantum & Quantum entanglement. The author has an hindex of 51, co-authored 286 publications receiving 14410 citations. Previous affiliations of Stefano Pirandola include Centre for Quantum Technologies & Massachusetts Institute of Technology.

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Quantum reading capacity under thermal and correlated noise

TL;DR: In this paper, the authors consider the problem of readout of a digital optical memory, where information is stored by means of the optical properties of the memory cells that are in turn probed by shining a laser beam on them.
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Homodyne-based quantum random number generator at 2.9 Gbps secure against quantum side-information.

TL;DR: In this article, a quantum random number generator based on homodyne measurements of the ground state of the electro-magnetic field is presented, and a security proof that considers quantum side information instead of classical side-information only is derived.
Posted Content

Channel Simulation in Quantum Metrology

TL;DR: The crucial role of quantum teleportation as a primitive operation which allows one to completely reduce adaptive protocols over suitable teleportation-covariant channels and derive matching upper and lower bounds for parameter estimation is elucidated.
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Quantum-Enhanced Barcode Decoding and Pattern Recognition

TL;DR: The use of quantum entangled sources, combined with suitable measurements and data processing, greatly outperforms classical coherent-state strategies for the tasks of barcode data decoding and classification of black and white patterns.
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Entanglement-enhanced testing of multiple quantum hypotheses

TL;DR: This work removes the restriction of binary hypotheses and shows that entangled photons can remarkably boost the discrimination of multiple bosonic channels, and forms a general problem of channel-position finding where the goal is to determine the position of a target channel among many background channels.