Quantum Graph Transformers
Georgios Kollias, Vasileios Kalantzis, et al.
ICASSP 2023
Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in recent years, paving the way for the development of a new paradigm in information processing. Here we give an overview of the most recent proposals aimed at bringing together these ongoing revolutions, and particularly at implementing the key functionalities of artificial neural networks on quantum architectures. We highlight the exciting perspectives in this context, and discuss the potential role of near-term quantum hardware in the quest for quantum machine learning advantage.
Georgios Kollias, Vasileios Kalantzis, et al.
ICASSP 2023
Kenny Jing Choo, Antonio Mezzacapo, et al.
APS March Meeting 2020
Jakob M. Günther, Francesco Tacchino, et al.
Quantum Science and Technology
Matthias Caro, Marcel Hinsche, et al.
ITCS 2024