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Lorenzo Pastori

Chiral topological phases from artificial neural networks
2018 · Raphael Kaubruegger, Lorenzo Pastori, et al. · Physical review. B./Physical review. B · 89
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Generalized transfer matrix states from artificial neural networks
2019 · Lorenzo Pastori, Raphael Kaubruegger, et al. · Physical review. B./Physical review. B · 37
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Characterization and Verification of Trotterized Digital Quantum Simulation Via Hamiltonian and Liouvillian Learning
2022 · Lorenzo Pastori, Tobias Olsacher, et al. · PRX Quantum · 30
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Opportunities and challenges of quantum computing for climate modeling
2025 · Mierk Schwabe, Lorenzo Pastori, et al. · Environmental Data Science · 18
Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching
2025 · Pauline Bonnet, Lorenzo Pastori, et al. · Geoscientific model development · 9
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Probing Infinite Many-Body Quantum Systems with Finite-Size Quantum Simulators
2022 · Viacheslav Kuzmin, Torsten V. Zache, et al. · PRX Quantum · 8
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Quantum neural networks for cloud cover parameterizations in climate models
2026 · Lorenzo Pastori, Arthur Grundner, et al. · Machine Learning Earth · 7
Digital quantum simulation, learning of the Floquet Hamiltonian, and quantum chaos of the kicked top
2022 · Tobias Olsacher, Lorenzo Pastori, et al. · Journal of Physics A Mathematical and Theoretical · 4
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Quantum Bayesian Optimization for the Automatic Tuning of Lorenz-96 as a Surrogate Climate Model
2025 · Christiansen, Paul J., de Mello, Daniel Ohl, et al. · arXiv (Cornell University) · 1
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Opportunities and challenges of quantum computing for climate modelling
2025 · Schwabe, Mierk, Pastori, Lorenzo, et al. · arXiv (Cornell University) · 1
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Fisher information, training and bias in Fourier regression models
2026 · Lorenzo Pastori, Veronika Eyring, et al. · Machine Learning Science and Technology
EyringMLClimateGroup/pastori26MLST_fim-training-fourier-models: Fisher Information, Training and Bias in Fourier Regression Models
2026 · Pastori, Lorenzo · Zenodo (CERN European Organization for Nuclear Research)
Training data from DYAMOND data set coarse-grained to R2B5
2026 · Pastori, Lorenzo, Grundner, Arthur · Zenodo (CERN European Organization for Nuclear Research)
Quantum Machine Learning for Climate Modelling
2025 · Mierk Schwabe, Lorenzo Pastori, et al. · IEEE International Conference on Quantum Artificial Intelligence (QAI)
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Towards a prototype hybrid ICON-ML model with physics-aware machine learning parameterizations
2025 · Julien Savre, Mierk Schwabe, et al.
Works count: 19
Citation count: 190
H-index: 5
I10-index: 4
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