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  • Open Access

Sample complexity of purity and inner product estimation

Weiyuan Gong1,*, Jonas Haferkamp1,†, Qi Ye2,‡, and Zhihan Zhang2,§

  • *Contact author: wgong@g.harvard.edu
  • †Contact author: jhaferkamp42@gmail.com
  • ‡Contact author: yeq22@mails.tsinghua.edu.cn
  • §Contact author: zhihan-z21@mails.tsinghua.edu.cn

Phys. Rev. Research 8, 043077 – Published 20 October, 2026

DOI: https://doi.org/10.1103/kh2j-jkn6

Abstract

We study the sample complexity of the prototypical tasks quantum purity estimation and quantum inner product estimation. The former has been a key subroutine for experimental benchmarking and entropy estimation, while the latter is a core task for cross-platform validation that compares the unknown quantum states produced by different physical platforms. In purity estimation, we are to estimate tr(ρ2) of an unknown quantum state ρ to additive error ɛ. Meanwhile, for quantum inner product estimation, Alice and Bob are to estimate tr(ρσ) to additive error ɛ, given copies of the unknown quantum states ρ and σ using classical communication and restricted quantum communication. We propose a protocol that solves quantum inner product estimation with k-qubit one-way quantum communication and unentangled local measurements using O(median{1/ɛ2,2n/2/ɛ,2n−k/ɛ2}) copies of ρ and σ. Our protocol can be modified to estimate the purity of an unknown quantum state ρ using k-qubit quantum memory with the same sample complexity. We also prove that arbitrary protocols with k-qubit quantum memory that estimate purity to error ɛ require Ω(median{1/ɛ2,2n/2/ɛ,2n−k/ɛ2}) copies of ρ. This indicates the same sample complexity lower bound for quantum inner product estimation with one-way k-qubit quantum communication and classical communication, and unentangled local measurements. We further improve the sample complexity lower bound for any purity estimation protocols using an identical single-copy projection-valued measurement. Last, we investigate a decisional variant of quantum distributed inner product estimation without quantum communication for mixed states and provide a sample complexity lower bound.

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