Physical Review Research (Jan 2024)

Multilevel variational spectroscopy using a programmable quantum simulator

  • Zhikun Han,
  • Chufan Lyu,
  • Yuxuan Zhou,
  • Jiahao Yuan,
  • Ji Chu,
  • Wuerkaixi Nuerbolati,
  • Hao Jia,
  • Lifu Nie,
  • Weiwei Wei,
  • Zusheng Yang,
  • Libo Zhang,
  • Ziyan Zhang,
  • Chang-Kang Hu,
  • Ling Hu,
  • Jian Li,
  • Dian Tan,
  • Abolfazl Bayat,
  • Song Liu,
  • Fei Yan,
  • Dapeng Yu

DOI
https://doi.org/10.1103/PhysRevResearch.6.013015
Journal volume & issue
Vol. 6, no. 1
p. 013015

Abstract

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Energy spectroscopy is a powerful tool with diverse applications across various disciplines. Variational quantum-classical algorithms based on programmable digital quantum simulators have emerged as promising approaches for conducting spectroscopy on various models using a single device, despite facing significant quantum and classical resource overheads. Here, we experimentally demonstrate multilevel variational spectroscopy for fundamental many-body Hamiltonians using a superconducting digital quantum simulator. By exploiting symmetries and the subspace search method, we achieve full spectroscopy for a four-qubit Heisenberg spin chain, yielding an average energy deviation as small as 0.13 from the theoretical values, assuming unity coupling strength. Our method, when extended to eight-qubit Heisenberg and transverse-field Ising Hamiltonians, successfully determines the three lowest-energy levels. In achieving the above, we introduce a circuit-agnostic compilation method that enhances the robustness of our simulator against signal crosstalk. Our study highlights the combination of the subspace search method and symmetry-assisted resource efficiency in variational quantum algorithms and lays the foundation for practical spectroscopy on near-term quantum simulators, with potential applications in quantum chemistry and condensed matter physics.