Ivano Tavernelli

Orcid: 0000-0001-5690-1981

According to our database1, Ivano Tavernelli authored at least 22 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Quantum Theory and Application of Contextual Optimal Transport.
CoRR, 2024

2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection.
Mach. Learn. Sci. Technol., December, 2023

Quantum algorithms for grid-based variational time evolution.
Quantum, October, 2023

On Hitting Times for General Quantum Markov Processes.
Quantum, July, 2023

Optimizing Quantum Classification Algorithms on Classical Benchmark Datasets.
Entropy, June, 2023

Quantum machine learning framework for virtual screening in drug discovery: a prospective quantum advantage.
Mach. Learn. Sci. Technol., March, 2023

Symmetry-invariant quantum machine learning force fields.
CoRR, 2023

Quantum Embedding Method for the Simulation of Strongly Correlated Systems on Quantum Computers.
CoRR, 2023

Quantum anomaly detection in the latent space of proton collision events at the LHC.
CoRR, 2023

Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Quantum Generative Adversarial Networks For Anomaly Detection In High Energy Physics.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022
Quantum neural networks force fields generation.
Mach. Learn. Sci. Technol., 2022

2021
Algorithmic Error Mitigation Scheme for Current Quantum Processors.
Quantum, 2021

Deterministic algorithms for compiling quantum circuits with recurrent patterns.
Quantum Inf. Process., 2021

2020
Improving Variational Quantum Optimization using CVaR.
Quantum, 2020

Variational learning for quantum artificial neural networks.
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2020

An quantum algorithm for feedforward neural networks tested on existing quantum hardware.
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.
Proceedings of the High Performance Computing, 2016

Stochastic Matrix-Function Estimators: Scalable Big-Data Kernels with High Performance.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2014
Nonadiabatic Molecular Dynamics Based on Trajectories.
Entropy, 2014

2013
Two Misfolding Routes for the Prion Protein around pH 4.5.
PLoS Comput. Biol., 2013

2011
Predicting Novel Binding Modes of Agonists to β Adrenergic Receptors Using All-Atom Molecular Dynamics Simulations.
PLoS Comput. Biol., 2011


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