Efficiently Computable Bounds for Magic State Distillation

Xin Wang, Mark M. Wilde, and Yuan Su
Phys. Rev. Lett. 124, 090505 – Published 6 March 2020
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Abstract

Magic-state distillation (or nonstabilizer state manipulation) is a crucial component in the leading approaches to realizing scalable, fault-tolerant, and universal quantum computation. Related to nonstabilizer state manipulation is the resource theory of nonstabilizer states, for which one of the goals is to characterize and quantify nonstabilizerness of a quantum state. In this Letter, we introduce the family of thauma measures to quantify the amount of nonstabilizerness in a quantum state, and we exploit this family of measures to address several open questions in the resource theory of nonstabilizer states. As a first application, we establish the hypothesis testing thauma as an efficiently computable benchmark for the one-shot distillable nonstabilizerness, which in turn leads to a variety of bounds on the rate at which nonstabilizerness can be distilled, as well as on the overhead of magic-state distillation. We then prove that the max-thauma can be used as an efficiently computable tool in benchmarking the efficiency of magic-state distillation, and that it can outperform previous approaches based on mana. Finally, we use the min-thauma to bound a quantity known in the literature as the “regularized relative entropy of magic.” As a consequence of this bound, we find that two classes of states with maximal mana, a previously established nonstabilizerness measure, cannot be interconverted in the asymptotic regime at a rate equal to one. This result resolves a basic question in the resource theory of nonstabilizer states and reveals a difference between the resource theory of nonstabilizer states and other resource theories such as entanglement and coherence.

  • Figure
  • Received 17 January 2019
  • Revised 2 December 2019
  • Accepted 7 January 2020

DOI:https://doi.org/10.1103/PhysRevLett.124.090505

© 2020 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Xin Wang1,2,‡, Mark M. Wilde3,*, and Yuan Su2,4,†

  • 1Institute for Quantum Computing, Baidu Research, Beijing 100193, China
  • 2Joint Center for Quantum Information and Computer Science, University of Maryland, College Park, Maryland 20742, USA
  • 3Hearne Institute for Theoretical Physics, Department of Physics and Astronomy, and Center for Computation and Technology, Louisiana State University, Baton Rouge, Louisiana 70803, USA
  • 4Department of Computer Science and Institute for Advanced Computer Studies, University of Maryland, College Park, Maryland 20742, USA

  • *Corresponding author. mwilde@lsu.edu
  • buptsuyuan@gmail.com
  • wangxin73@baidu.com

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Issue

Vol. 124, Iss. 9 — 6 March 2020

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