Author

L. Banchi

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Preprint Aug 2026

Hardware-Aware Fermion-to-Qubit Mappings for Simulating the 2D Hubbard Model on Heavy-Hexagon Quantum Processors

Quantum simulation of strongly correlated fermionic systems is among the most promising near- term applications of quantum computing, but its practical efficiency depends critically on the choice of fermion-to-qubit mapping and on the connectivity of the underlying hardware. In this work we address this problem in the...

A. Esposito, Andrea Giachero, Z. Zimborás et al. · 1 citation

Jul 2026

Learning Topological Quantum Phases from Limited Subsystems

A data-efficient supervised learning framework that circumvents this limitation by recognizing quantum phases from small subsystems by utilizing a quantum kernel constructed from the reduced density matrices of these subsystems, which can be efficiently estimated experimentally.

Mehran Khosrojerdi, Sougato Bose, A. Cuccoli et al. · arXiv.org · 0 citations