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M. Genovese

4 papers hereh-index 346 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • quant-ph4
same name
  • M. Genovese — 59 papers, h 38
  • M. Genovese — 7 papers, h 10
  • M. Genovese — 3 papers, h 4
  • M. Genovese — 1 paper
  • M. Genovese — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedA Spin-Based Pathway to Testing the Quantum Nature of Gravity

1 citations · 1 across the 1 of their papers we have counts for

collaborators

4 papers

quant-ph2025★ 1 cited

A Spin-Based Pathway to Testing the Quantum Nature of Gravity

Sougato Bose, Anupam Mazumdar, Roger Penrose +52

A key open problem in physics is the correct way to combine gravity (described by general relativity) with everything else (described by quantum mechanics). This problem suggests t…

quant-ph2024

QKD protected fiber-based infrastructure for time dissemination

Alice Meda, Alberto Mura, Salvatore Virzì +10

In this study, we demonstrate the possibility to protect, with Quantum Key Distribution (QKD), a critical infrastructure as the fiber-based one used for time and frequency (TF) dis…

quant-ph2024

The Bose-Marletto-Vedral experiment with nanodiamond interferometers: an insight on entanglement detection

Giuseppe Di Pietra, Fabrizio Piacentini, Ettore Bernardi +6

Recently, it has been proposed a new method [arXiv:2405.21029] to detect quantum gravity effects, based on generating gravitational entanglement between two nano-diamonds with Nitr…

quant-ph2024

Quantum super-resolution microscopy by photon statistics and structured light

Fabio Picariello, Elena Losero, Sviatoslav Ditalia Tchernij +4

We present an advanced quantum super-resolution imaging technique based on photon statistics measurement and its accurate modeling. Our reconstruction algorithm adapts to any kind…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.