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arXiv · 2512.03898

A Quantum Algorithm with Polylogarithmic Depth per Trotter Step for the Extended Hubbard Model

Yu Wang·Martina Nibbi·Maxine Luo·Isabel Nha Minh Le·Yanbin Chen·J. Ignacio Cirac·Christian B. Mendl
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Abstract

The extended Hubbard model on a two-dimensional lattice captures key physical phenomena, but its simulation remains challenging because long-range interactions give rise to a large number of interaction terms. Here we present Q2FMM, an efficient quantum algorithm for simulating this model within the Trotter product formula. Inspired by the fast multipole method, Q2FMM replaces site-site interactions with interactions between hierarchical coarse-grained boxes across multiple length scales. In addition, the multipole expansions of boxes are reused for their parent boxes, further enhancing the efficiency. To enable this hierarchical reuse coherently, we design a reversible quantum circuit that removes garbage information through uncomputing. The resulting circuit depth for a single Trotter step scales polylogarithmically with system size.

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Yu Wang, Martina Nibbi, Maxine Luo, Isabel Nha Minh Le, Yanbin Chen, J. Ignacio Cirac, Christian B. Mendl. 2026-06-30. A Quantum Algorithm with Polylogarithmic Depth per Trotter Step for the Extended Hubbard Model. https://arxiv.org/abs/2512.03898

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