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Efficient Estimation of Pauli Observables by Derandomization

Hsin-Yuan Huang, Richard Kueng, John Preskill

2021Physical Review Letters182 citationsDOIOpen Access PDF

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 by 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 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.

Topics & Concepts

ObservablePauli exclusion principlePhysicsNuclear physicsParticle physicsStatistical physicsHadronQuantum mechanicsQuantum chaos and dynamical systemsQuantum Computing Algorithms and ArchitectureMathematical Analysis and Transform Methods
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