2 papers
quant-ph2026
Inductive Graph Representation Learning with Quantum Graph Neural Networks
Arthur M. Faria, Ignacio F. Graña, Savvas Varsamopoulos
Quantum Graph Neural Networks (QGNNs) offer a promising approach to combining quantum computing with graph-structured data processing. While classical Graph Neural Networks (GNNs)…
cond-mat.mtrl-sci2025
Materials Discovery With Quantum-Enhanced Machine Learning Algorithms
Ignacio F. Graña, Savvas Varsamopoulos, Tatsuhito Ando +2
Materials discovery is a computationally intensive process that requires exploring vast chemical spaces to identify promising candidates with desirable properties. In this work, we…