World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
6126
World Ranking
1933
National Ranking
131

Engineering and Technology

D-Index
47
Citations
7017
World Ranking
4970
National Ranking
330

Overview

Simone Severini is a researcher affiliated with University College London in the United Kingdom. Their work spans multiple fields, primarily focusing on Computer Science and Agricultural and Biological Sciences.

Severini's research contributions encompass a range of topics, including:

  • Agricultural Economics and Policy
  • Quantum Information and Cryptography
  • Quantum Computing Algorithms and Architecture
  • Neural Networks and Reservoir Computing
  • Particle physics theoretical and experimental studies
  • High-Energy Particle Collisions Research
  • Particle Detector Development and Performance

Their published papers show involvement in both theoretical and applied aspects of quantum computing and agricultural policy analysis. Notable publications include:

  • "Universal discriminative quantum neural networks" (2020) in Quantum Machine Intelligence
  • "Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware" (2022) in Proceedings of The European Physical Society Conference on High Energy Physics - PoS(EPS-HEP2021)
  • "Combinatorial entanglement" (2021) in Linear Algebra and its Applications
  • "The role of Common Agricultural Policy (CAP) in enhancing and stabilising farm income: an analysis of income transfer efficiency and the Income Stabilisation Tool" (2021) in arXiv (Cornell University)
  • "The impact of CAP subsidies on the productivity of cereal farms in six European countries" (2022) in arXiv (Cornell University)

Severini frequently collaborates with several researchers, with multiple joint publications with Luigi Biagini. Other frequent coauthors include Hongxiang Chen, Leonard Wossnig, Hartmut Neven, and Morteza Mohseni. This indicates a collaborative research approach spanning across different specialized domains.

Their work has been published in the following venues:

  • arXiv (Cornell University)
  • Quantum Machine Intelligence
  • Proceedings of The European Physical Society Conference on High Energy Physics - PoS(EPS-HEP2021)
  • Linear Algebra and its Applications
  • Nature Communications

Subfields of study within their research portfolio include Artificial Intelligence, General Agricultural and Biological Sciences, Nuclear and High Energy Physics, Atomic and Molecular Physics and Optics, and Management Science and Operations Research.

Best Publications

  • Quantum machine learning: a classical perspective.

    Carlo Ciliberto;Mark Herbster;Alessandro Davide Ialongo;Alessandro Davide Ialongo;Massimiliano Pontil;Massimiliano Pontil

  • Graph-theoretic approach to quantum correlations.

    Adán Cabello;Simone Severini;Andreas Winter

  • Hierarchical quantum classifiers

    Edward Grant;Marcello Benedetti;Shuxiang Cao;Shuxiang Cao;Andrew Hallam;Andrew Hallam

  • Differential network entropy reveals cancer system hallmarks

    James West;Ginestra Bianconi;Simone Severini;Andrew E. Teschendorff

  • Quantum graphity: A model of emergent locality

    Tomasz Konopka;Fotini Markopoulou;Fotini Markopoulou;Simone Severini

  • Zero-Error Communication via Quantum Channels, Noncommutative Graphs, and a Quantum Lovász Number

    Runyao Duan;S. Severini;A. Winter

  • The Laplacian of a Graph as a Density Matrix: A Basic Combinatorial Approach to Separability of Mixed States

    Samuel L. Braunstein;Sibasish Ghosh;Simone Severini

  • Zero-error communication via quantum channels, non-commutative graphs and a quantum Lovasz theta function

    Runyao Duan;Simone Severini;Andreas J. Winter

  • Shannon and von Neumann entropy of random networks with heterogeneous expected degree

    Kartik Anand;Ginestra Bianconi;Simone Severini

  • On dynamic network entropy in cancer

    James West;Ginestra Bianconi;Simone Severini;Andrew Teschendorff

  • On the quantum chromatic number of a graph

    Peter J. Cameron;Ashley Montanaro;Michael W. Newman;Simone Severini

  • Cellular network entropy as the energy potential in Waddington's differentiation landscape.

    Christopher R. S. Banerji;Diego Miranda-Saavedra;Simone Severini;Martin Widschwendter

  • (Non-)Contextuality of Physical Theories as an Axiom

    Adan Cabello;Simone Severini;Andreas Winter

  • Modelling Non-Markovian Quantum Processes with Recurrent Neural Networks

    Leonardo Banchi;Edward Grant;Edward Grant;Andrea Rocchetto;Andrea Rocchetto;Simone Severini

  • Number-theoretic nature of communication in quantum spin systems.

    Chris Godsil;Stephen Kirkland;Simone Severini;Jamie Smith

  • A characterization of horizontal visibility graphs and combinatorics on words

    Gregory Gutin;Toufik Mansour;Simone Severini

  • Learning hard quantum distributions with variational autoencoders

    Andrea Rocchetto;Andrea Rocchetto;Edward Grant;Sergii Strelchuk;Giuseppe Carleo

  • Estimating quantum chromatic numbers

    Vern I. Paulsen;Simone Severini;Daniel Stahlke;Ivan G. Todorov

  • Parameters Of Integral Circulant Graphs And Periodic Quantum Dynamics

    Nitin Saxena;Simone Severini;Igor E. Shparlinski

  • Increased entropy of signal transduction in the cancer metastasis phenotype

    Andrew E Teschendorff;Simone Severini

  • Quantum Networks on Cubelike Graphs

    Anna Bernasconi;Chris Godsil;Simone Severini

  • Cellular network entropy as the energy potential in Waddington's differentiation

    R. S. Banerji;Diego Miranda-Saavedra;Simone Severini;Martin Widschwendter

Frequent Co-Authors

Toufik Mansour
Toufik Mansour University of Haifa
Andrew E. Teschendorff
Andrew E. Teschendorff University College London
Andreas Winter
Andreas Winter University of Cologne
Richard Wilson
Richard Wilson Harvard University
Stefano Mancini
Stefano Mancini University of Camerino
Edwin R. Hancock
Edwin R. Hancock University of York
Leslie Hogben
Leslie Hogben Iowa State University
Chris Godsil
Chris Godsil University of Waterloo
Vito Latora
Vito Latora Queen Mary University of London
Vittorio Giovannetti
Vittorio Giovannetti Scuola Normale Superiore di Pisa

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