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This research establishes a rigorous sign rule for quantum rotor networks, identifying loop frustration flux as the sole gauge-invariant determinant of classical simulation difficulty. By unifying disparate problems like the Mott transition and lattice gauge theory under this single metric, the study provides a critical framework for assessing the feasibility of simulating strongly correlated systems. Furthermore, it highlights the potential for superconducting rotor arrays to natively realize these models while mitigating the associated sign problem.
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A Gauge Sign Rule for Quantum Rotor Networks

arXiv2 min read

arXiv:2609.18969v1 Announce Type: new Abstract: The sign problem is the non-positive path-integral weight that makes a quantum system hard to simulate classically. It shows up in problems that look unrelated, from fermion antisymmetry and geometric frustration to real-time evolution, topological angles, and finite density. We study it here for compact continuous variables, modeled as networks of quantum rotors, $\hat H=\sum_i 4E_C(\hat n_i-n_{g,i})^2-\sum_{\langle ij\rangle} E_{ij}\cos(\hat\phi_i-\hat\phi_j-\theta_{ij})$. For these, a single gauge-invariant quantity controls the obstruction, the frustration flux through the independent loops of the interaction graph. We prove a sign rule, the rotor analogue of Marshall's. The charge-basis Hamiltonian is sign-free if and only if every loop flux vanishes modulo $2\pi$. Exact diagonalization and density-matrix renormalization then show that the sign cost is a gauge-invariant function of the flux. For a single loop it vanishes at zero flux, peaks at $\pi$, and is exponentially small in the loop's perimeter. Summed over many loops it is extensive, growing with system size. The same loop flux generates the sign of three problems usually treated apart, namely the Mott transition (through the slave-rotor mapping), compact $U(1)$ lattice gauge theory, and frustrated continuous optimization. A superconducting rotor array realizes both the model and its sign natively.

Abstract:The sign problem is the non-positive path-integral weight that makes a quantum system hard to simulate classically. It shows up in problems that look unrelated, from fermion antisymmetry and geometric frustration to real-time evolution, topological angles, and finite density. We study it here for compact continuous variables, modeled as networks of quantum rotors, $\hat H=\sum_i 4E_C(\hat n_i-n_{g,i})^2-\sum_{\langle ij\rangle} E_{ij}\cos(\hat\phi_i-\hat\phi_j-\theta_{ij})$. For these, a single gauge-invariant quantity controls the obstruction, the frustration flux through the independent loops of the interaction graph. We prove a sign rule, the rotor analogue of Marshall's. The charge-basis Hamiltonian is sign-free if and only if every loop flux vanishes modulo $2\pi$. Exact diagonalization and density-matrix renormalization then show that the sign cost is a gauge-invariant function of the flux. For a single loop it vanishes at zero flux, peaks at $\pi$, and is exponentially small in the loop's perimeter. Summed over many loops it is extensive, growing with system size. The same loop flux generates the sign of three problems usually treated apart, namely the Mott transition (through the slave-rotor mapping), compact $U(1)$ lattice gauge theory, and frustrated continuous optimization. A superconducting rotor array realizes both the model and its sign natively.

Quantum Physics (quant-ph); Disordered Systems and Neural Networks (cond-mat.dis-nn); Strongly Correlated Electrons (cond-mat.str-el); Superconductivity (cond-mat.supr-con); Mathematical Physics (math-ph)

arXiv:2609.18969 [quant-ph]

(or arXiv:2609.18969v1 [quant-ph] for this version)

https://doi.org/10.48550/arXiv.2609.18969 arXiv-issued DOI via DataCite (pending registration)

Full text under the publisher's open licence · 228 words

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