Ivano Tavernelli

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 25

Top Topics

Molecular Dynamics

Benchmark Datasets

Top Venues

Mach. Learn. Sci. Technol.

Publications

Nicola Mariella, Albert Akhriev, Francesco Tacchino, Christa Zoufal, Juan Carlos Gonzalez-Espitia, Benedek Harsanyi, Eugene Koskin, Ivano Tavernelli, Stefan Woerner, Marianna Rapsomaniki, Sergiy Zhuk, Jannis Born
Quantum Theory and Application of Contextual Optimal Transport. CoRR (2024)
Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Unravelling physics beyond the standard model with classical and quantum anomaly detection. Mach. Learn. Sci. Technol. 4 (4) (2023)
Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino
Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets. Entropy 25 (6) (2023)
Elie Bermot, Christa Zoufal, Michele Grossi, Julian Schuhmacher, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics. QCE (2023)
Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino
Symmetry-invariant quantum machine learning force fields. CoRR (2023)
Pauline J. Ollitrault, Sven Jandura, Alexander Miessen, Irene Burghardt, Rocco Martinazzo, Francesco Tacchino, Ivano Tavernelli
Quantum algorithms for grid-based variational time evolution. Quantum 7 (2023)
Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli
On Hitting Times for General Quantum Markov Processes. Quantum 7 (2023)
Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang
Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE (2023)
Max Rossmannek, Fabijan Pavosevic, Angel Rubio, Ivano Tavernelli
Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers. CoRR (2023)
Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa
Quantum anomaly detection in the latent space of proton collision events at the LHC. CoRR (2023)
Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Unravelling physics beyond the standard model with classical and quantum anomaly detection. CoRR (2023)
Stefano Mensa, Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. Mach. Learn. Sci. Technol. 4 (1) (2023)
Alexander Miessen, Pauline J. Ollitrault, Francesco Tacchino, Ivano Tavernelli
Quantum algorithms for quantum dynamics. Nat. Comput. Sci. 3 (1) (2023)
Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli
On Hitting Times for General Quantum Markov Processes. CoRR (2022)
Stefano Mensa, Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage. CoRR (2022)
Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
Quantum neural networks force fields generation. Mach. Learn. Sci. Technol. 3 (3) (2022)
Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
Quantum neural networks force fields generation. CoRR (2022)
Davide Ferrari, Ivano Tavernelli, Michele Amoretti
Deterministic algorithms for compiling quantum circuits with recurrent patterns. Quantum Inf. Process. 20 (6) (2021)
Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
Algorithmic Error Mitigation Scheme for Current Quantum Processors. Quantum 5 (2021)
Davide Ferrari, Ivano Tavernelli, Michele Amoretti
Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns. CoRR (2021)
Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni
Variational learning for quantum artificial neural networks. QCE (2020)
Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner
Improving Variational Quantum Optimization using CVaR. Quantum 4 (2020)
Daniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
An quantum algorithm for feedforward neural networks tested on existing quantum hardware. ESANN (2020)
Valéry Weber, A. Cristiano I. Malossi, Ivano Tavernelli, Teodoro Laino, Costas Bekas, Manish Modani, Nina Wilner, Tom Heller, Alessandro Curioni
First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD. ISC Workshops (2016)
Peter W. J. Staar, Panagiotis Kl. Barkoutsos, Roxana Istrate, A. Cristiano I. Malossi, Ivano Tavernelli, Nikolaj Moll, Heiner Giefers, Christoph Hagleitner, Costas Bekas, Alessandro Curioni
Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance. IPDPS (2016)
Felipe Franco de Carvalho, Marine E. F. Bouduban, Basile F. E. Curchod, Ivano Tavernelli
Nonadiabatic Molecular Dynamics Based on Trajectories. Entropy 16 (1) (2014)
Julian Garrec, Ivano Tavernelli, Ursula Rothlisberger
Two Misfolding Routes for the Prion Protein around pH 4.5. PLoS Comput. Biol. 9 (5) (2013)
Stefano Vanni, Marilisa Neri, Ivano Tavernelli, Ursula Rothlisberger
Predicting Novel Binding Modes of Agonists to β Adrenergic Receptors Using All-Atom Molecular Dynamics Simulations. PLoS Comput. Biol. 7 (1) (2011)