Ivano Tavernelli

According to our database, Ivano Tavernelli authored at least 24 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evolving a Multi-Population Evolutionary-QAOA on Distributed QPUs.

Francesca Schiavello, Edoardo Altamura, Ivano Tavernelli, Stefano Mensa, Benjamin C. B. Symons

CoRR, 2024

Quantum Theory and Application of Contextual Optimal Transport.

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Unravelling physics beyond the standard model with classical and quantum anomaly detection.

Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Mach. Learn. Sci. Technol., December, 2023

Quantum algorithms for grid-based variational time evolution.

Pauline J. Ollitrault, Sven Jandura, Alexander Miessen, Irene Burghardt, Rocco Martinazzo, Francesco Tacchino, Ivano Tavernelli

Quantum, October, 2023

On Hitting Times for General Quantum Markov Processes.

Lorenzo Laneve, Francesco Tacchino, Ivano Tavernelli

Quantum, July, 2023

Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets.

Manuel John, Julian Schuhmacher, Panagiotis Kl. Barkoutsos, Ivano Tavernelli, Francesco Tacchino

Entropy, June, 2023

Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage.

Stefano Mensa, Mustafa Emre Sahin, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Mach. Learn. Sci. Technol., March, 2023

Quantum algorithms for quantum dynamics.

Alexander Miessen, Pauline J. Ollitrault, Francesco Tacchino, Ivano Tavernelli

Nat. Comput. Sci., 2023

Symmetry-invariant quantum machine learning force fields.

Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

CoRR, 2023

Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers.

Max Rossmannek, Fabijan Pavosevic, Angel Rubio, Ivano Tavernelli

CoRR, 2023

Quantum anomaly detection in the latent space of proton collision events at the LHC.

Kinga Anna Wozniak, Vasilis Belis, Ema Puljak, Panagiotis Kl. Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa

CoRR, 2023

Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry.

Waheeda Saib, Xavier Bonet-Monroig, Vedran Dunjko, Ivano Tavernelli, Thomas Bäck, Hao Wang

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics.

Elie Bermot, Christa Zoufal, Michele Grossi, Julian Schuhmacher, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Quantum neural networks force fields generation.

Oriel Kiss, Francesco Tacchino, Sofia Vallecorsa, Ivano Tavernelli

Mach. Learn. Sci. Technol., 2022

2021

Algorithmic Error Mitigation Scheme for Current Quantum Processors.

Philippe Suchsland, Francesco Tacchino, Mark H. Fischer, Titus Neupert, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Quantum, 2021

Deterministic algorithms for compiling quantum circuits with recurrent patterns.

Davide Ferrari, Ivano Tavernelli, Michele Amoretti

Quantum Inf. Process., 2021

2020

Improving Variational Quantum Optimization using CVaR.

Panagiotis Kl. Barkoutsos, Giacomo Nannicini, Anton Robert, Ivano Tavernelli, Stefan Woerner

Quantum, 2020

Variational learning for quantum artificial neural networks.

Francesco Tacchino, Panagiotis Kl. Barkoutsos, Chiara Macchiavello, Dario Gerace, Ivano Tavernelli, Daniele Bajoni

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

An quantum algorithm for feedforward neural networks tested on existing quantum hardware.

Daniele Bajoni, Dario Gerace, Chiara Macchiavello, Francesco Tacchino, Panagiotis Kl. Barkoutsos, Ivano Tavernelli

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2016

First Experiences with ab initio Molecular Dynamics on OpenPOWER: The Case of CPMD.

Valéry Weber, A. Cristiano I. Malossi, Ivano Tavernelli, Teodoro Laino, Costas Bekas, Manish Modani, Nina Wilner, Tom Heller, Alessandro Curioni

Proceedings of the High Performance Computing, 2016

Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.

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

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2014

Nonadiabatic Molecular Dynamics Based on Trajectories.

Felipe Franco de Carvalho, Marine E. F. Bouduban, Basile F. E. Curchod, Ivano Tavernelli

Entropy, 2014

2013

Two Misfolding Routes for the Prion Protein around pH 4.5.

Julian Garrec, Ivano Tavernelli, Ursula Rothlisberger

PLoS Comput. Biol., 2013

2011

Predicting Novel Binding Modes of Agonists to β Adrenergic Receptors Using All-Atom Molecular Dynamics Simulations.

Stefano Vanni, Marilisa Neri, Ivano Tavernelli, Ursula Rothlisberger

PLoS Comput. Biol., 2011