Efficient estimation of Pauli observables by derandomization

• URL: http://arxiv.org/abs/2103.07510v1
• Date: Fri, 12 Mar 2021 20:09:57 GMT
• Title: Efficient estimation of Pauli observables by derandomization
• Authors: Hsin-Yuan Huang, Richard Kueng, John Preskill
• Abstract summary: We propose an efficient derandomization procedure that iteratively replaces random single-qubit measurements with fixed Pauli measurements. For estimating any $L$ low-weight Pauli observables, a deterministic measurement on only of order $log(L)$ copies of a quantum state suffices.
• Score: 4.157415305926584
• License: http://creativecommons.org/licenses/by/4.0/
• 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 $L$ low-weight Pauli observables, a deterministic measurement on only of order $\log(L)$ 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.

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