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Unitarity estimation for quantum channels

Kean Chen, Qisheng Wang, Peixun Long, Mingsheng Ying

TL;DR

A unified framework for unitarity estimation is provided, which induces ancilla-efficient algorithms that usetex-math notation="LaTeX" and shows that both the dependence andependence of the algorithms are optimal.

Abstract

Estimating the unitarity of an unknown quantum channel $\mathcal{E}$ provides information on how much it is unitary, which is a basic and important problem in quantum device certification and benchmarking. Unitarity estimation can be performed with either coherent or incoherent access, where the former in general leads to better query complexity while the latter allows more practical implementations. In this paper, we provide a unified framework for unitarity estimation, which induces ancilla-efficient algorithms that use $O(ε^{-2})$ and $O(\sqrt{d}\cdotε^{-2})$ calls to $\mathcal{E}$ with coherent and incoherent accesses, respectively, where $d$ is the dimension of the system that $\mathcal{E}$ acts on and $ε$ is the required precision. We further show that both the $d$-dependence and $ε$-dependence of our algorithms are optimal. As part of our results, we settle the query complexity of the distinguishing problem for depolarizing and unitary channels with incoherent access by giving a matching lower bound $Ω(\sqrt{d})$, improving the prior best lower bound $Ω(\sqrt[3]{d})$ by Aharonov et al. (Nat. Commun. 2022) and Chen et al. (FOCS 2021).

Unitarity estimation for quantum channels

TL;DR

A unified framework for unitarity estimation is provided, which induces ancilla-efficient algorithms that usetex-math notation="LaTeX" and shows that both the dependence andependence of the algorithms are optimal.

Abstract

Estimating the unitarity of an unknown quantum channel provides information on how much it is unitary, which is a basic and important problem in quantum device certification and benchmarking. Unitarity estimation can be performed with either coherent or incoherent access, where the former in general leads to better query complexity while the latter allows more practical implementations. In this paper, we provide a unified framework for unitarity estimation, which induces ancilla-efficient algorithms that use and calls to with coherent and incoherent accesses, respectively, where is the dimension of the system that acts on and is the required precision. We further show that both the -dependence and -dependence of our algorithms are optimal. As part of our results, we settle the query complexity of the distinguishing problem for depolarizing and unitary channels with incoherent access by giving a matching lower bound , improving the prior best lower bound by Aharonov et al. (Nat. Commun. 2022) and Chen et al. (FOCS 2021).
Paper Structure (24 sections, 26 theorems, 135 equations, 1 figure, 2 tables, 3 algorithms)

This paper contains 24 sections, 26 theorems, 135 equations, 1 figure, 2 tables, 3 algorithms.

Key Result

Theorem 1

Suppose our task is to estimate the unitarity of an unknown quantum channel $\mathcal{E}$ acting on a $d$-dimensional quantum system to precision $\epsilon$.

Figures (1)

  • Figure 1: Learning quantum channel $\mathcal{E}$ with coherent/incoherent access.

Theorems & Definitions (47)

  • Theorem : Upper bounds, see Section \ref{['sec-12241419']}
  • Theorem : Lower bounds, see Section \ref{['sec-12241421']}
  • Definition 1: Unitarity
  • Proposition 1
  • proof
  • Definition 2: Purity-preservation index, $\mathfrak{p}(\mathcal{E})$
  • Definition 3: Orthogonality-preservation index, $\mathfrak{o}(\mathcal{E})$
  • Theorem 1: Unitarity as purity-preservation and orthogonality-preservation
  • proof
  • Theorem 2: Upper bound, coherent access
  • ...and 37 more