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Luca Brodoloni

@lucabrodoloni

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Ph.D. student specializing in Quantum Technologies and machine learning.

Italy

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What I'm looking for

I seek a role that fosters innovation in quantum technologies and machine learning.

I am currently a Ph.D. student in Quantum Technologies at the University of Camerino, where I focus on quantum Monte Carlo simulations for many-body systems using neural networks. My research includes working on quantum spin glass and disordered Rydberg atoms systems, as well as utilizing D-Wave quantum annealers to study the ground state properties of complex quantum systems.

In addition to my research, I have gained valuable experience as a teaching assistant in various physics courses, helping undergraduate students grasp complex concepts in General Physics, Thermodynamics, and Fluid Dynamics. My academic journey has been enriched by my internships and projects, including the development of deep neural networks for identifying atomization energies of organic molecules, which has practical applications in quantum chemistry.

Experience

Work history, roles, and key accomplishments

Current

Teaching Assistant

Current

University of Camerino

Jan 2020 - Jan 2024 (4 years)

Assisted in teaching General Physics and Thermodynamics to B.Sc. students, providing support in understanding complex concepts and facilitating laboratory sessions.

Teaching Curriculum Development

Current

Qiskit Fall Fest Mentor

Current

IBM

Oct 2023 - Oct 2023 (0 months)

Organized and delivered workshops on quantum algorithms and practical quantum computing, enhancing knowledge sharing in the quantum computing community.

Quantum Algorithms Public Speaking Python Qiskit Community Engagement

Research Intern

University of Camerino

Jan 2022 - Feb 2022 (1 month)

Developed deep neural networks for identifying atomization energies of organic molecules, contributing to advancements in quantum chemistry applications.

Deep Learning Neural Networks Python Keras Data Analysis Research Methodology

Intern

iGuzzini

Aug 2017 - Sep 2017 (1 month)

Developed a photometric laboratory to assess the flicker effect in light sources, establishing a measurement protocol adopted as a standard practice.

Laboratory Development Flicker Effect Assessment Project Management

Education

Degrees, certifications, and relevant coursework

University of Naples Federico II

Ph.D., Quantum Technologies

2022 -

Currently pursuing a Ph.D. in Quantum Technologies, focusing on quantum Monte Carlo simulations for many-body systems using neural networks.

University of Camerino

Master of Science, Physics

2020 - 2022

Grade: 110/110

Completed a Master of Science in Physics with a thesis on supervised learning of atomization energies via 3D convolutional neural networks, achieving a grade of 110/110.