Projects
Decoherence and Quantum Communication
This project investigates the effects of decoherence and error propagation in photon-based point-to-point quantum communication.
Its objective is to improve the understanding of the practical limitations of quantum communication systems.
Data-Centric Quantum Machine Learning (DC-QML)
Investigation of Data Representation Strategies for Quantum Machine Learning in Industrial Environments
This project investigates how data representation and quantum encoding influence the performance of quantum and hybrid models in industrial applications, with a focus on anomaly detection and system monitoring.
Book Project: Data-Centric Quantum Machine Learning for Industrial Applications
This project is developing an open-access book on Data-Centric Quantum Machine
Learning for industrial applications. The book adopts a practical approach, featuring experiments and examples, and will be made available in both Portuguese and English.