English

On the sample complexity of purity and inner product estimation

Quantum Physics 2024-10-17 v1 Data Structures and Algorithms Information Theory Machine Learning math.IT

Abstract

We study the sample complexity of the prototypical tasks quantum purity estimation and quantum inner product estimation. In purity estimation, we are to estimate tr(ρ2)tr(\rho^2) of an unknown quantum state ρ\rho to additive error ϵ\epsilon. Meanwhile, for quantum inner product estimation, Alice and Bob are to estimate tr(ρσ)tr(\rho\sigma) to additive error ϵ\epsilon given copies of unknown quantum state ρ\rho and σ\sigma using classical communication and restricted quantum communication. In this paper, we show a strong connection between the sample complexity of purity estimation with bounded quantum memory and inner product estimation with bounded quantum communication and unentangled measurements. We propose a protocol that solves quantum inner product estimation with kk-qubit one-way quantum communication and unentangled local measurements using O(median{1/ϵ2,2n/2/ϵ,2nk/ϵ2})O(median\{1/\epsilon^2,2^{n/2}/\epsilon,2^{n-k}/\epsilon^2\}) copies of ρ\rho and σ\sigma. Our protocol can be modified to estimate the purity of an unknown quantum state ρ\rho using kk-qubit quantum memory with the same complexity. We prove that arbitrary protocols with kk-qubit quantum memory that estimate purity to error ϵ\epsilon require Ω(median{1/ϵ2,2n/2/ϵ,2nk/ϵ2})\Omega(median\{1/\epsilon^2,2^{n/2}/\sqrt{\epsilon},2^{n-k}/\epsilon^2\}) copies of ρ\rho. This indicates the same lower bound for quantum inner product estimation with one-way kk-qubit quantum communication and classical communication, and unentangled local measurements. For purity estimation, we further improve the lower bound to Ω(max{1/ϵ2,2n/2/ϵ})\Omega(\max\{1/\epsilon^2,2^{n/2}/\epsilon\}) for any protocols using an identical single-copy projection-valued measurement. Additionally, we investigate a decisional variant of quantum distributed inner product estimation without quantum communication for mixed state and provide a lower bound on the sample complexity.

Keywords

Cite

@article{arxiv.2410.12712,
  title  = {On the sample complexity of purity and inner product estimation},
  author = {Weiyuan Gong and Jonas Haferkamp and Qi Ye and Zhihan Zhang},
  journal= {arXiv preprint arXiv:2410.12712},
  year   = {2024}
}

Comments

33 pages, 1 figure

R2 v1 2026-06-28T19:24:27.911Z