Ivano Tavernelli

34 papers A* 1A 1B 1Misc 3Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Encoding molecular structures in quantum machine learning. Mach. Learn. Sci. Technol. Choy Boy, Edoardo Altamura, Dilhan Manawadu, Ivano Tavernelli, Stefano Mensa, David J. Wales
2025	J	`jnl`	Fermionic wave packet scattering: a quantum computing approach. Quantum Yahui Chai, Arianna Crippa, Karl Jansen, Stefan Kühn, Vincent R. Pascuzzi, Francesco Tacchino, Ivano Tavernelli
2025	J	`jnl`	Learning Reduced Representations for Quantum Classifiers. CoRR Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
2025	J	`jnl`	Learning reduced representations for quantum classifiers. Quantum Mach. Intell. Patrick Odagiu, Vasilis Belis, Lennart Schulze, Panagiotis Kl. Barkoutsos, Michele Grossi, Florentin Reiter, Günther Dissertori, Ivano Tavernelli, Sofia Vallecorsa
2024	J	`jnl`	Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs. CoRR Francesca Schiavello, Edoardo Altamura, Ivano Tavernelli, Stefano Mensa, Benjamin C. B. Symons
2024	A*	`conf`	Quantum Theory and Application of Contextual Optimal Transport. ICML 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
2024	J	`jnl`	Quantum Theory and Application of Contextual Optimal Transport. CoRR 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
2023	Misc	`conf`	Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry. QCE Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang
2023	J	`jnl`	On Hitting Times for General Quantum Markov Processes. Quantum Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli
2023	J	`jnl`	Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets. Entropy Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino
2023	J	`jnl`	Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers. CoRR Max Rossmannek, Fabijan Pavosevic, Angel Rubio, Ivano Tavernelli
2023	Misc	`conf`	Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics. QCE Elie Bermot, Christa Zoufal, Michele Grossi, Julian Schuhmacher, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
2023	J	`jnl`	Quantum algorithms for grid-based variational time evolution. Quantum Pauline J. Ollitrault, Sven Jandura, Alexander Miessen, Irene Burghardt, Rocco Martinazzo, Francesco Tacchino, Ivano Tavernelli
2023	J	`jnl`	Quantum algorithms for quantum dynamics. Nat. Comput. Sci. Alexander Miessen, Pauline J. Ollitrault, Francesco Tacchino, Ivano Tavernelli
2023	J	`jnl`	Quantum anomaly detection in the latent space of proton collision events at the LHC. CoRR Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa
2023	J	`jnl`	Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage. Mach. Learn. Sci. Technol. Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2023	J	`jnl`	Symmetry-invariant quantum machine learning force fields. CoRR Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino
2023	J	`jnl`	Unravelling physics beyond the standard model with classical and quantum anomaly detection. CoRR Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2023	J	`jnl`	Unravelling physics beyond the standard model with classical and quantum anomaly detection. Mach. Learn. Sci. Technol. Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2022	J	`jnl`	On Hitting Times for General Quantum Markov Processes. CoRR Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli
2022	J	`jnl`	Quantum Machine Learning Framework for Virtual Screening in Drug Discovery: a Prospective Quantum Advantage. CoRR Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2022	J	`jnl`	Quantum neural networks force fields generation. CoRR Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
2022	J	`jnl`	Quantum neural networks force fields generation. Mach. Learn. Sci. Technol. Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli
2021	J	`jnl`	Algorithmic Error Mitigation Scheme for Current Quantum Processors. Quantum Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2021	J	`jnl`	Deterministic Algorithms for Compiling Quantum Circuits with Recurrent Patterns. CoRR Davide Ferrari, Ivano Tavernelli, Michele Amoretti
2021	J	`jnl`	Deterministic algorithms for compiling quantum circuits with recurrent patterns. Quantum Inf. Process. Davide Ferrari, Ivano Tavernelli, Michele Amoretti
2020	B	`conf`	An quantum algorithm for feedforward neural networks tested on existing quantum hardware. ESANN Daniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli
2020	J	`jnl`	Improving Variational Quantum Optimization using CVaR. Quantum Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner
2020	Misc	`conf`	Variational learning for quantum artificial neural networks. QCE Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni
2016	—	`conf`	First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD. ISC Workshops Valéry Weber, A. Cristiano I. Malossi, Ivano Tavernelli, Teodoro Laino, Costas Bekas, Manish Modani, Nina Wilner, Tom Heller, Alessandro Curioni
2016	A	`conf`	Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance. IPDPS 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
2014	J	`jnl`	Nonadiabatic Molecular Dynamics Based on Trajectories. Entropy Felipe Franco de Carvalho, Marine E. F. Bouduban, Basile F. E. Curchod, Ivano Tavernelli
2013	J	`jnl`	Two Misfolding Routes for the Prion Protein around pH 4.5. PLoS Comput. Biol. Julian Garrec, Ivano Tavernelli, Ursula Rothlisberger
2011	J	`jnl`	Predicting Novel Binding Modes of Agonists to β Adrenergic Receptors Using All-Atom Molecular Dynamics Simulations. PLoS Comput. Biol. Stefano Vanni, Marilisa Neri, Ivano Tavernelli, Ursula Rothlisberger