Hamiltonian learning for 300 trapped ion qubits with long-range couplings
Abstract
Quantum simulators with hundreds of qubits and engineerable Hamiltonians have the potential to explore quantum many-body models that are intractable for classical computers. However, learning the simulated Hamiltonian, a prerequisite for any applications of a quantum simulator, remains an outstanding challenge due to the fast increasing time cost with the qubit number and the lack of high-fidelity universal gate operations in the noisy intermediate-scale quantum era. Here we demonstrate the Hamiltonian learning of a two-dimensional ion trap quantum simulator with 300 qubits. We employ global manipulations and single-qubit-resolved state detection to efficiently learn the all-to-all-coupled Ising model Hamiltonian, with the required quantum resources scaling at most linearly with the qubit number. Our work paves the way for wide applications of large-scale ion trap quantum simulators.
Keywords
Cite
@article{arxiv.2408.03801,
title = {Hamiltonian learning for 300 trapped ion qubits with long-range couplings},
author = {S. -A. Guo and Y. -K. Wu and J. Ye and L. Zhang and Y. Wang and W. -Q. Lian and R. Yao and Y. -L. Xu and C. Zhang and Y. -Z. Xu and B. -X. Qi and P. -Y. Hou and L. He and Z. -C. Zhou and L. -M. Duan},
journal= {arXiv preprint arXiv:2408.03801},
year = {2025}
}