Francesco Tacchino

Orcid: 0000-0003-2008-5956

According to our database1, Francesco Tacchino authored at least 18 papers between 2020 and 2024.

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

Timeline

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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

Pulse-efficient quantum machine learning.
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

Quantum algorithms for quantum dynamics.
Nat. Comput. Sci., 2023

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

Quadratic quantum speedup in evaluating bilinear risk functions.
CoRR, 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

An analytic theory for the dynamics of wide quantum neural networks.
CoRR, 2022

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

Representation Learning via Quantum Neural Tangent Kernels.
CoRR, 2021

2020
Quantum computing model of an artificial neuron with continuously valued input data.
Mach. Learn. Sci. Technol., 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


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