English

Efficient estimation of Pauli observables by derandomization

Quantum Physics 2021-07-21 v1 Data Structures and Algorithms

Abstract

We consider the problem of jointly estimating expectation values of many Pauli observables, a crucial subroutine in variational quantum algorithms. Starting with randomized measurements, we propose an efficient derandomization procedure that iteratively replaces random single-qubit measurements with fixed Pauli measurements; the resulting deterministic measurement procedure is guaranteed to perform at least as well as the randomized one. In particular, for estimating any LL low-weight Pauli observables, a deterministic measurement on only of order log(L)\log(L) copies of a quantum state suffices. In some cases, for example when some of the Pauli observables have a high weight, the derandomized procedure is substantially better than the randomized one. Specifically, numerical experiments highlight the advantages of our derandomized protocol over various previous methods for estimating the ground-state energies of small molecules.

Keywords

Cite

@article{arxiv.2103.07510,
  title  = {Efficient estimation of Pauli observables by derandomization},
  author = {Hsin-Yuan Huang and Richard Kueng and John Preskill},
  journal= {arXiv preprint arXiv:2103.07510},
  year   = {2021}
}

Comments

12 pages, 2 figures, 1 table; open-source code available at https://github.com/momohuang/predicting-quantum-properties

R2 v1 2026-06-24T00:05:10.768Z