Photo of Saverio Monaco

Saverio Monaco

Computational Physicist · (Quantum) Machine Learning Researcher

Education

Experience

Skills

Quantum Computing

PennyLaneQiskitQuimbYao.jl

Programming Languages

PythonJuliaC/C++SQLRVHDLAgdaLaTeXNixJavaScriptRust

Machine Learning

JAXPyTorchKeras

Other Libraries

PandasNumPyMatplotlibBeautifulSoup

Tools

GitDockerVimLinuxSphinxReadTheDocsWeights & Biases

Languages

Italian (native)English (C1, IELTS Academic 7.0)German (C1/B2, Goethe-Zertifikat B2)French (B2/B1, EsaBac Diploma)
2026
An IQP Born Machine for Calorimeter Image Generation at 64 Qubits with Compiled-IQP Deployment
Slim, J., Monaco, S., Rehm, F., Krücker, D., Borras, K.
arXiv pre-print
2026
Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model
Slim, J., Monaco, S., Rehm, F., Krücker, D., Borras, K.
arXiv pre-print
2025
Quantum Generative Modeling for Calorimeter Simulations on Noisy Quantum Devices
Monaco, S., Slim, J., Rehm, F., Scham, M., Krücker, D., Borras, K.
PoS ACAT2025
2025
Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits
Monaco, S., Slim, J., Rehm, F., Krücker, D., Borras, K.
arXiv pre-print
2025
Quantum Generative Modeling for Calorimeter Simulations on Noisy Quantum Devices
Monaco, S., Slim, J., Rehm, F., Scham, M., Krücker, D., Borras, K.
PoS EPS-HEP2025, p. 639
2024
Exploring the Phase Diagram of the quantum one-dimensional ANNNI model
Cea, M., Grossi, M., Monaco, S., Rico, E., Tagliacozzo, L., Vallecorsa, S.
arXiv pre-print
2024
Quantum Machine Learning for data analysis at LHCb
Gianelle, A., Lucchesi, D., Monaco, S., Nicotra, D., Sestini, L., Zuliani, D.
Il Nuovo Cimento C: colloquia and communications in physics 47(3), p. 127, Editrice Compositori srl
2023
Quantum phase detection generalization from marginal quantum neural network models
Monaco, S., Kiss, O., Mandarino, A., Vallecorsa, S., Grossi, M.
Phys. Rev. B 107(8), p. L081105, American Physical Society
2023
Study of quantum correlations in LHCb simulated heavy flavour jets
Monaco, S., Lucchesi, D., Zuliani, D., Sestini, L.
thesis.unipd.it
“TBD” LHC Quantum Computing Workshop (University of Valencia) · Valencia, Spain
“Performance analysis of the QAG algorithm on QSEA and IBM quantum computers” HQML Consortium Meeting · Hamburg, Germany
“TBD” QT4HEP 2026 (CERN) · Geneva, Switzerland

Certificates

IELTS Academic: Score 7.0 (English, C1) British Council
2021
Goethe-Zertifikat B2 (German, B2) Goethe-Institut
2016
EsaBac Diploma (French-Italian dual diploma) Ministère de l'Éducation nationale / MIUR
2016

Upcoming

Goal
JLPT N3: Japanese Language Proficiency Test
Working toward intermediate Japanese proficiency.
2027
Goal
PhD Graduation
Detector Simulation and Jet Clustering for HL-LHC with Quantum Computing, RWTH Aachen University & DESY.
2027
Goal
Quantum Computing for High-Energy Physics: From Demonstrations to Scientific Utility
S. Monaco et al. Manuscript in preparation.
2026
Goal
Classical Pre-Training of Large Shallow Parametrized Quantum Circuits through Pauli Propagation
S. Monaco, J. Slim, F. Rehm, D. Krücker, K. Borras. Manuscript in preparation.
2026
Goal
Study of Ansätze under Pauli Propagation
S. Monaco, J. Slim, F. Rehm, D. Krücker, K. Borras. Manuscript in preparation.
2026
Goal
PennyLane Tutorial - Author
Author a PennyLane (Xanadu) tutorial on Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits.
2026