Random-depth Quantum Amplitude Estimation

Xi Lu; Hongwei Lin

Random-depth Quantum Amplitude Estimation

Quantum Physics 2023-11-20 v4

Authors: Xi Lu , Hongwei Lin

Abstract

The maximum likelihood amplitude estimation algorithm (MLAE) is a practical solution to the quantum amplitude estimation problem with Heisenberg limit error convergence. We improve MLAE by using random depths to avoid the so-called critical points, and do numerical experiments to show that our algorithm is approximately unbiased compared to the original MLAE and approaches the Heisenberg limit better.

Keywords

quantum algorithms quantum state discrimination statistical algorithms

Cite

@article{arxiv.2301.00528,
  title  = {Random-depth Quantum Amplitude Estimation},
  author = {Xi Lu and Hongwei Lin},
  journal= {arXiv preprint arXiv:2301.00528},
  year   = {2023}
}

Comments

16 pages, 6 figures

Related papers

View all related →