Reuse & Permissions

It is not necessary to obtain permission to reuse this article or its components as it is available under the terms of the Creative Commons Attribution 4.0 International license. This license permits unrestricted use, distribution, and reproduction in any medium, provided attribution to the author(s) and the published article's title, journal citation, and DOI are maintained. Please note that some figures may have been included with permission from other third parties. It is your responsibility to obtain the proper permission from the rights holder directly for these figures.

Export citation

Export citation

Choose format for download:

Download Citation
  • Open Access

Private Remote Phase Estimation over a Lossy Quantum Channel

Farzad Kianvash1, Marco Barbieri2,3,4, and Matteo Rosati1

Phys. Rev. Lett. 136, 060805 – Published 11 February, 2026

DOI: https://doi.org/10.1103/rhgw-t21z

Abstract

Private remote quantum sensing aims at estimating a parameter at a distant location by transmitting quantum states on an insecure quantum channel, limiting information leakage and disruption of the estimation itself from an adversary. Previous results highlighted that one can bound the estimation performance in terms of the observed noise. However, if no assumptions are placed on the channel model, such bounds are very loose and severely limit the estimation. We propose and analyze a private remote sensing protocol using—for the first time, to our knowledge—continuous-variable states in the single-user setting. Assuming a typical class of lossy attacks and employing tools from quantum communication, we calculate the true estimation error and privacy of our protocol, both in the asymptotic limit of many channel uses and in the finite-size regime. Our results show that a realistic channel-model assumption, which can be validated with measurement data, allows for a much tighter quantification of the estimation error and privacy for all practical purposes.

View figure in article

Physics Subject Headings (PhySH)

Article Text

Supplemental Material

References (36)

  1. S. Wehner, D. Elkouss, and R. Hanson, Quantum internet: A vision for the road ahead, Science 362, eaam9288 (2018).
  2. P. P. Rohde, Z. Huang, Y. Ouyang, H.-L. Huang, Z.-E. Su, S. Devitt, R. Ramakrishnan, A. Mantri, S.-H. Tan, N. Liu, S. Harrison, C. Radhakrishnan, G. K. Brennen, B. Q. Baragiola, J. P. Dowling, T. Byrnes, and W. J. Munro, The quantum internet (technical version), arXiv:2501.12107.
  3. Z. Huang, C. Macchiavello, and L. Maccone, Cryptographic quantum metrology, Phys. Rev. A 99, 022314 (2019).
  4. Y. Takeuchi, Y. Matsuzaki, K. Miyanishi, T. Sugiyama, and W. J. Munro, Quantum remote sensing with asymmetric information gain, Phys. Rev. A 99, 022325 (2019).
  5. P. Yin, Y. Takeuchi, W.-H. Zhang, Z.-Q. Yin, Y. Matsuzaki, X.-X. Peng, X.-Y. Xu, J.-S. Xu, J.-S. Tang, Z.-Q. Zhou, G. Chen, C.-F. Li, and G.-C. Guo, Experimental demonstration of secure quantum remote sensing, Phys. Rev. Appl. 14, 014065 (2020).
  6. N. Shettell, E. Kashefi, and D. Markham, Cryptographic approach to quantum metrology, Phys. Rev. A 105, L010401 (2022).
  7. S. W. Moore and J. A. Dunningham, Secure quantum remote sensing without entanglement, AVS Quantum Sci. 5, 014406 (2023).
  8. W. He, C. Huang, R. Guan, Y. Chen, Z. Zhang, and K. Wei, Experimental secure entanglement-free quantum remote sensing over 50 km of optical fiber, arXiv:2412.18837.
  9. J. Ho, J. W. Webb, R. M. J. Brooks, F. Grasselli, E. Gauger, and A. Fedrizzi, Quantum-private distributed sensing, arXiv:2410.00970.
  10. M. Hassani, S. Scheiner, M. G. A. Paris, and D. Markham, Privacy in networks of quantum sensors, Phys. Rev. Lett. 134, 030802 (2025).
  11. L. Bugalho, M. Hassani, Y. Omar, and D. Markham, Private and robust states for distributed quantum sensing, Quantum 9, 1596 (2025).
  12. G. Bizzarri, M. Barbieri, M. Manrique, M. Parisi, F. Bruni, I. Gianani, and M. Rosati, Faithful and secure distributed quantum sensing under general-coherent attacks, arXiv:2505.02620.
  13. J. de Jong, S. Scheiner, N. R. Solomons, Z. Chaoui, D. Markham, and A. Pappa, Anonymous and private parameter estimation in networks of quantum sensors, Phys. Rev. Appl. 24, 054053 (2025).
  14. U. Alushi and R. Di Candia, Privacy in distributed quantum sensing with Gaussian quantum networks, arXiv:2509.22103.
  15. A. d. O. Junior, A. L. Andersen, B. L. Larsen, S. W. Moore, D. Markham, M. Takeoka, J. B. Brask, and U. L. Andersen, Privacy in continuous-variable distributed quantum sensing, arXiv:2509.12338.
  16. M. Bina, A. Mandarino, S. Olivares, and M. G. A. Paris, Drawbacks of the use of fidelity to assess quantum resources, Phys. Rev. A 89, 012305 (2014).
  17. C. H. Bennett and G. Brassard, Quantum cryptography: Public key distribution and coin tossing, Theor. Comput. Sci. 560, 7 (2014).
  18. A. K. Ekert, Quantum cryptography based on Bell’s theorem, Phys. Rev. Lett. 67, 661 (1991).
  19. F. Grosshans and P. Grangier, Continuous variable quantum cryptography using coherent states, Phys. Rev. Lett. 88, 057902 (2002).
  20. S. Ghorai, P. Grangier, E. Diamanti, and A. Leverrier, Asymptotic security of continuous-variable quantum key distribution with a discrete modulation, Phys. Rev. X 9, 021059 (2019).
  21. J. Lin, T. Upadhyaya, and N. Lütkenhaus, Asymptotic security analysis of discrete-modulated continuous-variable quantum key distribution, Phys. Rev. X 9, 041064 (2019).
  22. A. Denys, P. Brown, and A. Leverrier, Explicit asymptotic secret key rate of continuous-variable quantum key distribution with an arbitrary modulation, Quantum 5, 540 (2021).
  23. F. Kanitschar, I. George, J. Lin, T. Upadhyaya, and N. Lütkenhaus, Finite-size security for discrete-modulated continuous-variable quantum key distribution protocols, PRX Quantum 4, 040306 (2023).
  24. M. Rosati, G. De Palma, A. Mari, and V. Giovannetti, Optimal quantum state discrimination via nested binary measurements, Phys. Rev. A 95, 042307 (2017).
  25. M. Bilkis, M. Rosati, R. M. Yepes, and J. Calsamiglia, Real-time calibration of coherent-state receivers: Learning by trial and error, Phys. Rev. Res. 2, 033295 (2020).
  26. M. Bilkis, M. Rosati, and J. Calsamiglia, Reinforcement-learning calibration of coherent-state receivers on variable-loss optical channels, in 2021 IEEE Information Theory Workshop (IEEE, 2021), pp. 1–6.
  27. M. Rosati and A. Solana, Joint-detection learning for optical communication at the quantum limit, Opt. Quantum 2, 390 (2024).
  28. M. Rosati and G. Cincotti, A Fourier machine for quantum optical communications, J. Lightwave Technol. 43, 3770 (2025).
  29. F. Kianvash and M. Rosati, Probabilistic pulse-position modulation for classical communication on quantum channels, Phys. Rev. A 112, 032624 (2025).
  30. M. N. Notarnicola, S. Olivares, E. Forestieri, E. Parente, L. Potì, and M. Secondini, Probabilistic amplitude shaping for continuous-variable quantum key distribution with discrete modulation over a wiretap channel, IEEE Trans. Commun. 72, 375 (2024).
  31. See Supplemental Material at http://link.aps.org/supplemental/10.1103/rhgw-t21z for detailed calculations of the MSE and the asymptotic limit.
  32. C. W. Helstrom, Quantum Detection and Estimation Theory (Academic Press, New York, 1976), Vol. 84, p. 309.
  33. J. E. Kolassa, Series Approximation Methods in Statistics, Lecture Notes in Statistics Vol. 88 (Springer, New York, 2006).
  34. M. G. Genoni, M. G. A. Paris, G. Adesso, H. Nha, P. L. Knight, and M. S. Kim, Optimal estimation of joint parameters in phase space, Phys. Rev. A 87, 012107 (2013).
  35. To regenerate the data use the following https://figshare.com/articles/dataset/Private_Remote_Phase_Estimation_over_a_Lossy_Quantum_Channel/31141549?file=61299778.
  36. P. Jouguet, S. Kunz-Jacques, A. Leverrier, P. Grangier, and E. Diamanti, Experimental demonstration of long-distance continuous-variable quantum key distribution, Nat. Photonics 7, 378 (2013).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation