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20072026
most citedNeutrino Masses and Mixings from String Theory Instantons

52 citations · 282 across the 20 of their papers we have counts for

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Showing 2021Show all

10 papers · 1 filter

cond-mat.quant-gas2021

Non-Hermitian dynamics and -symmetry breaking in interacting mesoscopic Rydberg platforms

José A. S. Lourenço, Gerard Higgins, Chi Zhang +2

We simulate the dissipative dynamics of a mesoscopic system of long-range interacting particles which can be mapped into non-Hermitian spin models with a symmetry. W…

quant-ph2021★ 20 cited

Probing phase transitions in non-Hermitian systems with Multiple Quantum Coherences

Diego Paiva Pires, Tommaso Macrì

Understanding the interplay between quantum coherence and non-Hermitian features would enable the devising of quantum technologies based on dissipative systems. In turn, quantum co…

cond-mat.quant-gas2021

Exploring quantum quasicrystal patterns: a variational study

A. Mendoza-Coto, R. Turcati, V. Zampronio +3

We study the emergence of quasicrystal configurations produced purely by quantum fluctuations in the ground-state phase diagram of interacting bosonic systems. By using a variation…

cond-mat.quant-gas2021

Bound state dynamics in the long-range spin- XXZ model

T. Macrì, L. Lepori, G. Pagano +2

Experimental platforms based on trapped ions, cold molecules, and Rydberg atoms have made possible the investigation of highly-nonlocal spin- Hamiltonians with long-range co…

cs.CL2021★ 2 cited

Classifying Tweet Sentiment Using the Hidden State and Attention Matrix of a Fine-tuned BERTweet Model

Tommaso Macrì, Freya Murphy, Yunfan Zou +1

This paper introduces a study on tweet sentiment classification. Our task is to classify a tweet as either positive or negative. We approach the problem in two steps, namely embedd…

cs.CV2021

Segmentation of Roads in Satellite Images using specially modified U-Net CNNs

Jonas Bokstaller, Yihang She, Zhehan Fu +1

The image classification problem has been deeply investigated by the research community, with computer vision algorithms and with the help of Neural Networks. The aim of this paper…