Quantum computing simulation of nonlinear optical response in Hubbard models

ORAL

Abstract

Multidimensional coherent spectroscopy (MDCS) has become a valuable tool to analyze electronic excitations in correlated quantum materials. By exposing a system to a sequence of weak coherent optical light pulses, the nonlinear response signals from different excitations can be separated in the two- (or higher) dimensional frequency space, disentangling properties that appear convoluted in the linear response regime. While it is straightforward to calculate the MDCS response in noninteracting systems, where one has full knowledge of the complete excitation spectrum, the lack thereof in interacting systems makes this a challenging problem. Here we show that the task is well-suited for noisy intermediate-scale quantum (NISQ) computers that can efficiently simulate the time evolution of the interacting wavefunction between the different light pulse. Focusing on the paradigmatic electronic Hubbard model, we benchmark the capabilities of current quantum hardware by computing the nonlinear electric response based on Trotter time evolution of the quantum state and discuss the physical insight that MDCS reveals.

*This work was supported by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences, Materials Science and Engineering Division, including the grant of computer time at the National Energy Research Scientific Computing Center (NERSC) in Berkeley, California. The research was performed at the Ames Laboratory, which is operated for the U.S. DOE by Iowa State University under Contract No. DE-AC02-07CH11358. T.V.T. acknowledges support from the Research Corporation for Science Advancement via P.P.O.’s Cottrell Scholar Award.

Presenters

  • Peter P Orth

    • Iowa State University
    • Ames National Laboratory

Authors

  • Peter P Orth

    • Iowa State University
    • Ames National Laboratory
  • Anirban Mukherjee

    • Ames National Laboratory
  • Yong-Xin Yao

    • Ames National Laboratory
  • Alexander Huynh

    • Iowa State University
  • Thais V Trevisan

    • Ames Laboratory / Iowa State University