English

Preparing the Gutzwiller wave function for attractive SU(3) fermions on a quantum computer

Quantum Physics 2025-12-16 v1 Strongly Correlated Electrons High Energy Physics - Theory

Abstract

We implement the Gutzwiller wave function for attractive SU(3) fermion systems on a quantum computer using a quantum-classical hybrid scheme based on the discrete Hubbard-Stratonovich transformation. In this approach, the nonunitary Gutzwiller operator is decomposed into a linear combination of unitaries constructed from two-qubit fermionic Givens rotation gates, whose rotation angles are dictated by the auxiliary fields. We develop and reformulate two complementary methods to perform the sum over these auxiliary fields. In the first method, the Gutzwiller wave function is probabilistically prepared on the register qubits by projectively postselecting the desired state via measurements of ancilla qubits. We analyze the success rate both analytically and numerically as a function of the Gutzwiller variational parameter gg for the Fermi-sea and BCS-like trial states at half filling. The success rate is found to decay exponentially for small g|g|, but remains finite in the g|g|\to\infty limit, with increasing g|g|. In the second method, we employ importance sampling to address the Gutzwiller variational problem, where the central objective is to estimate the expectation values of observables. We demonstrate the proposed scheme by calculating the energy and triple occupancy of the attractive SU(3) Hubbard model in the framework of digital quantum simulation. Moreover, we present experimental results obtained on a trapped-ion quantum computer for the two-site attractive SU(3) Hubbard model, showing good agreement with exact values within statistical errors.

Keywords

Cite

@article{arxiv.2504.18149,
  title  = {Preparing the Gutzwiller wave function for attractive SU(3) fermions on a quantum computer},
  author = {Han Xu and Kazuhiro Seki and Seiji Yunoki},
  journal= {arXiv preprint arXiv:2504.18149},
  year   = {2025}
}

Comments

14 pages, 6 figures

R2 v1 2026-06-28T23:10:57.340Z