About Me

I am a PhD student in the field of quantum machine learning, affiliated with the Optimization of Machine Learning Systems Group at the University of Basel, under the supervision of Aurelien Lucchi and Jiři Černý. My research is funded by the SNSF and involves collaborative efforts with IBM Research Zürich.

In my free time I enjoy experimenting with the musical production of various genres and arrangements. Some of my creations are archived on my YouTube channel.

Publications

1. Sabri Meyer, Francesco Scala, Francesco Tacchino and Aurelien Lucchi. Trainability of Quantum Models Beyond Known Classical Simulability. arXiv preprint arXiv:2507.06344, 2025.

Research

My research focuses on the mathematical analysis of Variational Quantum Algorithms (VQAs), with an emphasis on understanding the optimization landscape of quantum expectation values in Parameterized Quantum Circuits (PQCs). Specifically, I study the design of quantum circuit architectures, parameter initialization strategies, and classical simulation techniques to investigate the trade-offs between trainability and classical simulability.

I am also interested in computational complexity and questions regarding Quantum Advantage; scenarios where quantum devices outperform any known classical alternatives.

In addition, I aim to explore efficient data encoding methods for Quantum Machine Learning (QML) and to better understand the training dynamics of these models in upcoming research.

Conferences & Workshops

LMS Research School 2025: Quantum Machine Learning and Hamiltonian Simulation. Sabhal Mor Ostaig (Gaelic College), Scotland.
QTML 2024: 8th International Conference on Quantum Techniques in Machine Learning. University of Melbourne, Australia.

Teaching

Fall Semester 2023: Teacher Assistant in Mathematics of Data Science

• Introduction to probability theory and mathematical statistics
• Random matrix theory, concentration inequalities, and dimensionality reduction
• Graph theory, spectral clustering, and diffusion maps

Curriculum Vitae

2023 - Present: PhD in Quantum Machine Learning, University of Basel
2021 - 2023: Master of Science in Mathematics, University of Basel

• Specialized in Algebraic Number Theory, Analysis of Partial Differential Equations and Stochastic Analysis
• Master Thesis on the Hessian Eigenspectrum of Nonlinear Neural Networks
• Electives in Theoretical Quantum Mechanics

2018 - 2021: Bachelor of Science in Mathematics, University of Basel

• Electives in Physics & Computer Science