Saverio Monaco

Education

PhD in Quantum Generative Models for High Energy Physics (ENGAGE) RWTH Aachen University & DESY · Hamburg, Germany

Mar. 2024 - Present

Marie Skłodowska-Curie PhD Fellowship
Thesis: Detector Simulation and Jet Clustering for HL-LHC with Quantum Computing

M.Sc. in Computational Physics University of Padua · Padua, Italy

Sep. 2020 - Sep. 2023

Thesis: Study of Quantum Correlations in LHCb Simulated Heavy Flavour Jets
Honors: Magna cum laude

B.Sc. in Physics University of Catania · Catania, Italy

Sep. 2016 - Jul. 2020

Thesis: Phase-Space Formulation of Quantum Mechanics

Experience

Research Secondment ParityQC · Hamburg, Germany

Sep. 2025 - Dec. 2025

Compared performance of training quantum generative models on IBM machines and the QSea machine.

Quantum Machine Learning Intern CERN · Geneva, Switzerland

Apr. 2022 - Aug. 2022

Explored quantum machine learning techniques for phase detection in the ANNNI spin model.
Developed and implemented supervised and unsupervised architectures for phase detection.
Published a Python package under the CERN-IT organization.
Authored and published a paper on the implemented techniques.

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)

Publications

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

Link

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

Link

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

Link

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

Link

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

DOI Link

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

Link

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

DOI Link

2023

Study of quantum correlations in LHCb simulated heavy flavour jets

Monaco, S., Lucchesi, D., Zuliani, D., Sestini, L.

thesis.unipd.it

Link

Presentations

Talk: “Training Quantum Generative Models for High Energy Physics” FHSciComp 2026 (DESY) · Hamburg, Germany

Jun. 2026

Talk: “Symbolic Pauli Propagation for Gradient-Enabled Pre-Training of Quantum Circuits” CERN QTI Journal Club (CERN) · Geneva, Switzerland

Feb. 2026

Poster: “Precise Quantum Angle Generator Designed for Noisy Quantum Devices” ACAT 2025 (University of Hamburg) · Hamburg, Germany

Sep. 2025

Poster: “Precise Quantum Angle Generator Designed for Noisy Quantum Devices” EPS 2025 (Palais du Pharo) · Marseille, France

Jul. 2025

Poster: “Precise Quantum Angle Generator Designed for Noisy Quantum Devices” QT4HEP 2025 (CERN) · Geneva, Switzerland

Jan. 2025

Poster: “Precise Quantum Angle Generator Designed for Noisy Quantum Devices” QTech 2024 (Freie Universität Berlin) · Berlin, Germany

Sep. 2024

Poster: “Quantum Machine Learning for data analysis at LHCb” IFAE 2023 (University of Catania) · Catania, Italy

Apr. 2023

Poster: “Quantum phase detection generalization from marginal quantum neural network models” QIP 2023 (Ghent University) · Ghent, Belgium

Feb. 2023

Extracurricular Activity

Hackathon Participant Junction Quantum Hack 2026 · Espoo, Finland

2026

Project: “Quantum Machine Learning for Finance”.
Goal: Implementation of a quantum algorithm to speed up derivative pricing beyond Black-Scholes.

Hackaton Participant PennyLane Code Camp 2023 · Online

Nov. 2022

Team placed 7th out of 500+ teams in a coding challenge on Quantum Machine Learning with PennyLane.

Lecturer, LaTeX Course Computer Science Committee, College of Merit “Don Nicola Mazza” · Padua, Italy

2021 - 2023

Taught a three-lesson course spanning fundamentals to advanced topics (bibliography, TikZ, custom commands).

Writing

PennyLane Tutorial - Author PennyLane (Xanadu) · Online

May 2025

Authored the tutorial “Supervised and Unsupervised Quantum Machine Learning Models for the Phase Detection of the ANNNI Spin Model” (pennylane.ai/qml/demos/tutorial_annni).

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