Emanuele Dri

Emanuele Dri is a PhD student in Quantum Computing at Politecnico di Torino, Italy, under the Department of Automatic Control and Computer Science (DAUIN). He also serves as an external teacher and teaching assistant, collaborating on courses in Computer Science and Quantum Engineering. His research focuses on quantum algorithms for financial applications, reliability of quantum circuits, and bridging academic research with industry needs.

Education: M.Sc. in Data Science and Engineering from Politecnico di Torino (2021), with a thesis on Machine Learning for text classification.

Research interests include quantum computing, data science, computer vision, AI, parallel systems, and financial applications. He has contributed to projects on quantum fault tolerance, algorithm optimization, and financial modeling with quantum circuits.

Awards include a 2023 Teaching Quality Award (95.5% satisfaction) and 2024 Quality Awards. His teaching roles span courses in Computer Science and Quantum Computing modules for engineering programs.

Publications highlight advancements in quantum finance, error propagation in quantum neural networks, and transpilation effects on quantum circuit reliability. Collaborations with institutions like Intesa Sanpaolo reflect his industry-oriented research.