Francesco Tacchino

According to our database, Francesco Tacchino authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

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

Pulse-efficient quantum machine learning.

André Melo, Nathan Earnest-Noble, Francesco Tacchino

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

Quadratic quantum speedup in evaluating bilinear risk functions.

Gabriele Agliardi, Corey O'Meara, Kavitha Yogaraj, Kumar Jang Bahadur Ghosh, Piergiacomo Sabino, Marina Fernández-Campoamor, Giorgio Cortiana, Juan Bernabé-Moreno, Francesco Tacchino, Antonio Mezzacapo, Omar Shehab

CoRR, 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

An analytic theory for the dynamics of wide quantum neural networks.

Junyu Liu, Khadijeh Najafi, Kunal Sharma, Francesco Tacchino, Liang Jiang, Antonio Mezzacapo

CoRR, 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

Representation Learning via Quantum Neural Tangent Kernels.

Junyu Liu, Francesco Tacchino, Jennifer R. Glick, Liang Jiang, Antonio Mezzacapo

CoRR, 2021

2020

Quantum computing model of an artificial neuron with continuously valued input data.

Stefano Mangini, Francesco Tacchino, Dario Gerace, Chiara Macchiavello, Daniele Bajoni

Mach. Learn. Sci. Technol., 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