Fermion lattices can be simulated by same-size qubit lattices with $\mathcal{O}(1)$ interaction overhead

TL;DR

This paper introduces a method to simulate local fermionic interactions on two-dimensional qubit lattices with minimal overhead, optimizing circuit depth and resource scaling for various quantum architectures.

Contribution

The authors develop a dynamic Jordan-Wigner transformation technique that reduces simulation overhead and extends to higher dimensions, improving efficiency in fermionic quantum simulations.

Findings

Circuit depth scales as O(√N) on fixed qubit lattices.

Depth reduces to O(log N) on reconfigurable arrays.

Explicitly demonstrated simulations include Fermi-Hubbard and fermionic Fourier transform.

Abstract

Local interactions among electrons underlie many complex properties of correlated materials. While the Jordan-Wigner transformation can preserve this locality along one spatial dimension, interactions along the remaining dimensions typically incur substantial overhead. We show how to simulate all geometrically local interactions on an $N$-site two-dimensional fermion lattice with no asymptotic overhead in the number of interactions and no space overhead. The primary overhead of our method is circuit depth, which on a qubit lattice matches that of fermionic swap networks, scaling as $\mathcal{O}(\sqrt{N})$, but reduces to $\mathcal{O}(\log N)$ on reconfigurable qubit arrays and to $\mathcal{O}(1)$ in lattice-surgery-based surface-code architectures. This is enabled by dynamically reorienting the Jordan-Wigner transformation to switch the lattice dimension along which locality is preserved. Furthermore, we study fermion routing, as required for the simulation of non-local interactions. When using qubit lattices, we reach resource scaling that asymptotically matches that of qubit routing, whilst on fully connected qubit devices, a depth scaling arbitrarily close to $\mathcal{O}(\log N)$ is reached. This allows the fermionic fast Fourier transform to be implemented on qubit lattices with asymptotically optimal resource scaling under these locality constraints. Notably, all of our constructions naturally extend to $d$-dimensional lattices. Beyond scaling improvements, we show explicit examples of our method, including Fermi-Hubbard-model simulations of the square-, Lieb- and kagome lattice and the fermionic fast Fourier transform.