Roberto Giuntini
Fellowship
Philosopher in Residence
Appointment
2023
Institution
University of Cagliari - Italy
Department
Department of Pedagogy, Psychology, Philosophy
Hosts
Prof. Hans-Joachim Bungartz, Prof. Stefania Centrone, Prof. Klaus Mainzer
Focus Group
Quantum Logic and the Second Quantum Revolution
Video Portrait
Short CV
Roberto Giuntini is a full professor of Logic and Philosophy of Science at the University of Cagliari. His scientific interests primarily focus on the logico-algebraic structures of quantum mechanics and the quantum information and computation. In recent years, he has been engaged in the applications of quantum logic to machine learning and artificial intelligence.
The Leitmotiv of his research is based on the idea that quantum formalism finds applications beyond the realm of the microphysics, encompassing the domains of cognitive and social sciences as well.
He has served as the President of the International Quantum Structures Association and the Italian Society of Logic and Philosophy of Science. In 1998, he received the Birkhoff-von Neumann Prize for his studies on the logical-algebraic foundations of quantum mechanics, and in 2020 he was awarded the Prize Jur Hronek for his mathematical achievements by the Slovak Academy of Sciences.
Selected Awards
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2024: Elected Member of the European Academy of Sciences and Arts
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2018–2021: Member of the “Centro Linceo Interdisciplinare E. Segre”, Accademia Nazionale dei Lincei, Rome.
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2020: Jur Hronec Medal of the Slovak Academy of Sciences for the achievements in mathematical sciences
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1998: Birkhoff von Neumann Prize
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2020: Visiting Scientist, Netherlands Organization for Scientific Research, Institute of Logic, Language and Computation, University of Amsterdam.
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2019: Alexander von Humboldt Stiftung Visiting Fellow, Munich Center for Mathematical Philosophy, Munich .
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2019: Alexander von Humboldt Stiftung Visiting Fellow, Technische Universitaet, Berlin.
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2017: Visiting Scientist, Institute of Logic and Cognition, Sun Yat-Sen University.
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2012: Alexander von Humboldt Stiftung Visiting Fellow, Institute of Philosophy II, Ruhr University, Bochum.
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2012: Visiting Scientist, Institute of Logic, Language and Computation, University of Amsterdam
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1987: Alexander von Humboldt Stiftung Fellow, Institute of Theoretical Physics, University of Cologne, Cologne.
Research Interests
Quantum Logic; Foundations of Quantum Mechanics; Quantum Computation and Information; Quantum Machine Learning; Quantum Artificial Intelligence.
Selected Publications
A. Books:
- M.L. Dalla Chiara, R. Giuntini, R. Leporini, G. Sergioli, Quantum Computation and Logic: How Quantum Computers Have Inspired Logical Investigations, Trends in Logics, Springer,2018.
- M.L. Dalla Chiara, R. Giuntini, R. Greechie, Reasoning in Quantum Theory, Kluwer, Dordrecht, 2004.
- R. Giuntini, Quantum Logic and Hidden Variables, Bibliographisches Institut, Mannheim, 1991.
B. Refereed papers:
- R. Giuntini, A. C. Granda Arango, H. Freytes, F. Holik, G. Sergioli, “Multi-class classification based on quantum state discrimination”, Fuzzy Sets and Systems, 467, 2023.
- R. Giuntini, F. Holik, D. Park, H. Freytes, C. Blank, G. Sergioli, ‘’Quantum-inspired algorithm for direct multi-class classification”, Applied Soft Computing, 134, 2023.
- G. Sergioli, C. Militello, L. Rundo, L. Minafra, F. Torrisi, G. Russo, K.L. Chow, R. Giuntini, “A quantum-inspired classifier for clonogenic assay evaluations”, Scientific Reports, 2;11(1):2830, 2021.
- G. Sergioli, R. Giuntini, H. Freytes, “A new quantum approach to binary classification”, PLoS ONE, 14(5), 2019.
- G. Sergioli, G. Russo, E. Santucci, A. Stefano, S. E. Torrisi, S. Palmucci, C. Vancheri, R. Giuntini, “Quantum-inspired minimum distance classification in a biomedical context’’, International Journal of Quantum Information, 16, 2018.
- M.L. Dalla Chiara, R. Giuntini, G. Sergioli, R. Leporini, “A many-valued approach to quantum computational logics’’, Fuzzy Sets and Systems, 335, 2018.
- G. Sergioli, E. Santucci, L. Didaci, J. A. Miszczak, R. Giuntini, “A quantum-inspired version of the nearest mean classifier”, Soft Computing, 22, 2018.