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- Simone Severini

Discipline name
H-index
Citations
Publications
World Ranking
National Ranking

Mathematics
D-index
33
Citations
3,657
131
World Ranking
1620
National Ranking
100

Engineering and Technology
D-index
32
Citations
4,378
120
World Ranking
4569
National Ranking
311

- Quantum mechanics
- Combinatorics
- Algebra

Simone Severini mostly deals with Discrete mathematics, Combinatorics, Quantum, Quantum algorithm and Graph theory. Her Discrete mathematics research includes themes of Quantum information, Quantum information science, Classical capacity and Hamiltonian. Her Quantum study is associated with Quantum mechanics.

The Quantum algorithm study combines topics in areas such as Quantum computer and Theoretical computer science. Her Theoretical computer science study combines topics from a wide range of disciplines, such as Test data generation, Quantum machine learning and Reinforcement learning. The concepts of her Graph theory study are interwoven with issues in Modular decomposition, 1-planar graph, Laplacian matrix, Symmetric group and Gauge theory.

- Graph-theoretic approach to quantum correlations. (206 citations)
- Quantum graphity: A model of emergent locality (148 citations)
- Quantum machine learning: a classical perspective. (144 citations)

Simone Severini mainly focuses on Combinatorics, Discrete mathematics, Quantum, Quantum entanglement and Quantum computer. Her Combinatorics study integrates concerns from other disciplines, such as Upper and lower bounds and Unitary matrix. Her Discrete mathematics study combines topics in areas such as Quantum walk and Graph theory.

Simone Severini is interested in Quantum state, which is a field of Quantum. Her Quantum computer research incorporates elements of Quantum algorithm, Theoretical computer science and Artificial intelligence. Her work deals with themes such as Quantum mechanics and Qubit, which intersect with Statistical physics.

- Combinatorics (37.10%)
- Discrete mathematics (40.28%)
- Quantum (30.39%)

- Quantum (30.39%)
- Quantum state (16.25%)
- Quantum computer (15.19%)

Quantum, Quantum state, Quantum computer, Discrete mathematics and Artificial neural network are her primary areas of study. Her study explores the link between Quantum and topics such as Algorithm that cross with problems in Quantum process and Master equation. Her Quantum state research includes elements of State, Quantum information, Reconstruction conjecture, Graph theory and Statistical physics.

Her Quantum computer research is multidisciplinary, relying on both Hamiltonian mechanics, Theoretical computer science, Applied mathematics, Artificial intelligence and MNIST database. Simone Severini works mostly in the field of Theoretical computer science, limiting it down to topics relating to Computation and, in certain cases, Boltzmann machine and Computational complexity theory. Her studies deal with areas such as Multipartite and Network science, Complex network as well as Discrete mathematics.

- Quantum machine learning: a classical perspective. (144 citations)
- Quantum machine learning: a classical perspective. (144 citations)
- Hierarchical quantum classifiers (112 citations)

- Quantum mechanics
- Algebra
- Combinatorics

Simone Severini spends much of her time researching Quantum, Quantum computer, Quantum state, Theoretical computer science and Quantum machine learning. Her Quantum research incorporates themes from Artificial neural network and Algorithm. Her study ties her expertise on Quantum algorithm together with the subject of Quantum computer.

Her Quantum state study incorporates themes from Quantum information, Scaling and Qubit. Her Quantum machine learning research integrates issues from Test data generation and Reinforcement learning. Her research investigates the connection between Quantum entanglement and topics such as Hermitian matrix that intersect with issues in Tensor product.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Graph-theoretic approach to quantum correlations.

Adán Cabello;Simone Severini;Andreas Winter.

Physical Review Letters **(2014)**

244 Citations

Quantum graphity: A model of emergent locality

Tomasz Konopka;Fotini Markopoulou;Fotini Markopoulou;Simone Severini.

Physical Review D **(2008)**

180 Citations

Differential network entropy reveals cancer system hallmarks

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

Scientific Reports **(2012)**

174 Citations

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.

Annals of Combinatorics **(2006)**

162 Citations

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

Runyao Duan;Simone Severini;Andreas J. Winter.

arXiv: Quantum Physics **(2010)**

159 Citations

On dynamic network entropy in cancer

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

arXiv: Molecular Networks **(2012)**

159 Citations

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

Runyao Duan;S. Severini;A. Winter.

IEEE Transactions on Information Theory **(2013)**

155 Citations

Quantum machine learning: a classical perspective.

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

Proceedings of The Royal Society A: Mathematical, Physical and Engineering Sciences **(2018)**

148 Citations

On the quantum chromatic number of a graph

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

Electronic Journal of Combinatorics **(2007)**

148 Citations

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

Kartik Anand;Ginestra Bianconi;Simone Severini.

Physical Review E **(2011)**

145 Citations

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