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Structure, optimality, and symmetry in shadow unitary inversion
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  • Published: 20 May 2026

Structure, optimality, and symmetry in shadow unitary inversion

  • Guocheng Zhen  ORCID: orcid.org/0009-0001-4039-67621 na1,
  • Yu-Ao Chen  ORCID: orcid.org/0000-0003-0705-82321 na1,
  • Mingrui Jing1,
  • Jingu Xie1,
  • Xin Wang  ORCID: orcid.org/0000-0002-0641-31861 &
  • …
  • Ranyiliu Chen  ORCID: orcid.org/0000-0001-6060-61922 

Communications Physics (2026) Cite this article

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Subjects

  • Information theory and computation
  • Quantum information
  • Quantum simulation

Abstract

Reversing unknown quantum dynamics is vital for quantum control and learning, yet full unitary inversion requires a resource-intensive O(d2) queries. Because many applications only require the reversed evolution for a given observable, a critical gap remains in understanding the minimal resources for such targeted reversal. Here, we address this by introducing shadow unitary inversion. We establish a lower bound showing the query complexity must scale at least linearly with system dimension for spectrally biased observables, with the constant determined by the observable’s spectral properties. For qubit case, we construct an explicit, deterministic three-query sequential protocol achieving exact shadow inversion and completely characterize all admissible channels, with numerical evidence suggesting optimality. For higher dimensions, we develop a semidefinite-programming formulation and introduce a representation-theoretic symmetry reduction that decomposes the optimization into invariant blocks, substantially reducing the problem size. Shadow unitary inversion thus offers a resource-efficient path to inverse-dynamics estimation for future quantum control, diagnostics, and learning tasks.

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Acknowledgements

We thank the two anonymous reviewers for their valuable comments and suggestions, including the example discussed in Supplementary Note 5.

Funding

This work was partially supported by the National Key R&D Program of China (Grant No. 2024YFB4504004), the National Natural Science Foundation of China (Grant Nos. 12447107 and 92576114), the Guangdong Provincial Quantum Science Strategic Initiative (Grant Nos. GDZX2403008 and GDZX2503001), the CCF-Tencent Rhino-Bird Open Research Fund, the Guangdong Provincial Key Lab of Integrated Communication, Sensing and Computation for Ubiquitous Internet of Things (Grant No. 2023B1212010007), the Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area, and the Education Bureau of Guangzhou Municipality.

Author information

Author notes
  1. These authors contributed equally: Guocheng Zhen, Yu-Ao Chen.

Authors and Affiliations

  1. Thrust of Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China

    Guocheng Zhen, Yu-Ao Chen, Mingrui Jing, Jingu Xie & Xin Wang

  2. Quantum Science Center of Guangdong-Hong Kong-Macao Greater Bay Area, Shenzhen, Guangdong, China

    Ranyiliu Chen

Authors
  1. Guocheng Zhen
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  2. Yu-Ao Chen
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  3. Mingrui Jing
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  4. Jingu Xie
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  5. Xin Wang
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  6. Ranyiliu Chen
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Corresponding authors

Correspondence to Xin Wang or Ranyiliu Chen.

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The authors declare no competing interests.

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Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

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Cite this article

Zhen, G., Chen, YA., Jing, M. et al. Structure, optimality, and symmetry in shadow unitary inversion. Commun Phys (2026). https://doi.org/10.1038/s42005-026-02690-9

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  • Received: 24 December 2025

  • Accepted: 07 May 2026

  • Published: 20 May 2026

  • DOI: https://doi.org/10.1038/s42005-026-02690-9

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