English

An efficient quantum algorithm for generation of ab initio n-th order susceptibilities for non-linear spectroscopies

Quantum Physics 2024-04-23 v1

Abstract

We develop and analyze a fault-tolerant quantum algorithm for computing nn-th order response properties necessary for analysis of non-linear spectroscopies of molecular and condensed phase systems. We use a semi-classical description in which the electronic degrees of freedom are treated quantum mechanically and the light is treated as a classical field. The algorithm we present can be viewed as an implementation of standard perturbation theory techniques, focused on {\it ab initio} calculation of nn-th order response functions. We provide cost estimates in terms of the number of queries to the block encoding of the unperturbed Hamiltonian, as well as the block encodings of the perturbing dipole operators. Using the technique of eigenstate filtering, we provide an algorithm to extract excitation energies to resolution γ\gamma, and the corresponding linear response amplitude to accuracy ϵ\epsilon using O(N6η2γ1ϵ1log(1/ϵ)){O}\left(N^{6}\eta^2{{\gamma^{-1}}\epsilon^{-1}}\log(1/\epsilon)\right) queries to the block encoding of the unperturbed Hamiltonian H0H_0, in double factorized representation. Thus, our approach saturates the Heisenberg O(γ1)O(\gamma^{-1}) limit for energy estimation and allows for the approximation of relevant transition dipole moments. These quantities, combined with sum-over-states formulation of polarizabilities, can be used to compute the nn-th order susceptibilities and response functions for non-linear spectroscopies under limited assumptions using O~(N5n+1ηn+1/γnϵ)\widetilde{O}\left({N^{5n+1}\eta^{n+1}}/{\gamma^n\epsilon}\right) queries to the block encoding of H0H_0.

Keywords

Cite

@article{arxiv.2404.01454,
  title  = {An efficient quantum algorithm for generation of ab initio n-th order susceptibilities for non-linear spectroscopies},
  author = {Tyler Kharazi and Torin F. Stetina and Liwen Ko and Guang Hao Low and K. Birgitta Whaley},
  journal= {arXiv preprint arXiv:2404.01454},
  year   = {2024}
}

Comments

33 pages, 8 figures

R2 v1 2026-06-28T15:40:47.915Z