Federico Tiblias
PhD
Technical University of Darmstadt (TU Darmstadt)
Quantum Architectures for Natural Language Processing

Natural Language Processing (NLP) has made significant strides in recent years, driven by advances in machine learning and deep learning
techniques. Quantum computing, a technology with transformative potential, is yet to find a well-defined role in NLP. Our objective is to
investigate the potential benefits of quantum computing in NLP, including its impact on explainability, generalization, and overall performance. In
addition, we aim to contribute to the development of a quantum theory of resources in NLP and to create novel quantum-native architectures. By
conducting empirical experiments and theoretical analysis, we hope to gain significant insights into how quantum technologies can transform the
field of NLP.

Track:
Academic Track
PhD Duration:
June 1st, 2023 - June 1st, 2026
First Exchange:
September 1st, 2024 - February 28th, 2025
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