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Experimental measurement and a physical interpretation of quantum shadow enumerators

Daniel Miller1,2,*, Kyano Levi1, Lukas Postler3, Alex Steiner3, Lennart Bittel1, Gregory A. L. White1, Yifan Tang1, Eric J. Kuehnke1, Antonio A. Mele1 et al.

Sumeet Khatri1,4,5, Lorenzo Leone1, Jose Carrasco1, Christian D. Marciniak3, Ivan Pogorelov3, Milena Guevara-Bertsch3, Robert Freund3, Rainer Blatt3,6, Philipp Schindler3, Thomas Monz3,7, Martin Ringbauer3, and Jens Eisert1

  • *Contact author: d.miller@fu-berlin.de

Phys. Rev. Research 8, 023318 – Published 18 June, 2026

DOI: https://doi.org/10.1103/8h3b-brg1

Abstract

Throughout its history, the theory of quantum error correction has heavily benefited from translating classical concepts into the quantum setting. In particular, classical notions of weight enumerators, which relate to the performance of an error-correcting code, and MacWilliams’ identity, which links enumerators of a code to the ones of its dual, have been generalized to the quantum case. In this work, we establish a relationship between the theoretical machinery of quantum weight enumerators and a seemingly unrelated physics experiment: we prove that Rains’ quantum shadow enumerators—a powerful mathematical tool—arise as probabilities of observing fixed numbers of triplets in a two-copy Bell sampling experiment. This insight allows us to develop here a rigorous framework for the direct measurement of quantum weight enumerators, thus enabling experimental and theoretical studies of the entanglement structure of any quantum error-correcting code or quantum state under investigation. On top of that, we derive concrete sample complexity bounds and physically motivated robustness guarantees against unavoidable experimental imperfections. Finally, we demonstrate the feasibility of experimentally learning weight enumerators on a trapped-ion quantum computer. Our experimental findings are in good agreement with theoretical predictions and illuminate how entanglement theory and quantum error correction cross-fertilize each other once two-copy Bell sampling experiments are combined with the theoretical machinery of quantum weight enumerators.

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References (203)

  1. D. A. Lidar and T. A. Brun, Quantum Error Correction (Cambridge University Press, Cambridge, 2013).
  2. B. M. Terhal, Quantum error correction for quantum memories, Rev. Mod. Phys. 87, 307 (2015).
  3. E. T. Campbell, B. M. Terhal, and C. Vuillot, Roads towards fault-tolerant universal quantum computation, Nature (London) 549, 172 (2017).
  4. J. Eisert and J. Preskill, Mind the gaps: The fraught road to quantum advantage, arXiv:2510.19928.
  5. A. Bermudez, X. Xu, R. Nigmatullin, J. O’Gorman, V. Negnevitsky, P. Schindler, T. Monz, U. G. Poschinger, C. Hempel, J. Home, F. Schmidt-Kaler, M. Biercuk, R. Blatt, S. Benjamin, and M. Müller, Assessing the progress of trapped-ion processors towards fault-tolerant quantum computation, Phys. Rev. X 7, 041061 (2017).
  6. L. Egan, D. M. Debroy, C. Noel, A. Risinger, D. Zhu, D. Biswas, M. Newman, M. Li, K. R. Brown, M. Cetina, and C. Monroe, Fault-tolerant control of an error-corrected qubit, Nature (London) 598, 281 (2021).
  7. C. Ryan-Anderson, J. G. Bohnet, K. Lee, D. Gresh, A. Hankin, J. P. Gaebler, D. Francois, A. Chernoguzov, D. Lucchetti, N. C. Brown, T. M. Gatterman, S. K. Halit, K. Gilmore, J. A. Gerber, B. Neyenhuis, D. Hayes, and R. P. Stutz, Realization of real-time fault-tolerant quantum error correction, Phys. Rev. X 11, 041058 (2021).
  8. S. Krinner, N. Lacroix, A. Remm, A. Di Paolo, E. Genois, et al., Realizing repeated quantum error correction in a distance-three surface code, Nature (London) 605, 669 (2022).
  9. Google Quantum AI, Suppressing quantum errors by scaling a surface code logical qubit, Nature (London) 614, 676 (2023).
  10. R. S. Gupta, N. Sundaresan, T. Alexander, C. J. Wood, S. T. Merkel, et al., Encoding a magic state with beyond break-even fidelity, Nature (London) 625, 259 (2024).
  11. D. Bluvstein, S. J. Evered, A. A. Geim, S. H. Li, H. Zhou, et al., Logical quantum processor based on reconfigurable atom arrays, Nature (London) 626, 58 (2024).
  12. R. Acharya, et al., Quantum error correction below the surface code threshold, Nature (London) 638, 920 (2025).
  13. N.-C. Chiu, E. C. Trapp, J. Guo, M. H. Abobeih, L. M. Stewart, S. Hollerith, P. L. Stroganov, M. Kalinowski, A. A. Geim, S. J. Evered, S. H. Li, X. Lyu, L. M. Peters, D. Bluvstein, T. T. Wang, M. Greiner, V. Vuletić, and M. D. Lukin, Continuous operation of a coherent 3,000-qubit system, Nature (London) 646, 1075 (2025).
  14. J. Emerson, R. Alicki, and K. Zyczkowski, Scalable noise estimation with random unitary operators, J. Opt. B: Quantum Semiclass. Opt. 7, S347 (2005).
  15. J. Eisert, D. Hangleiter, N. Walk, I. Roth, D. Markham, R. Parekh, U. Chabaud, and E. Kashefi, Quantum certification and benchmarking, Nat. Rev. Phys. 2, 382 (2020).
  16. M. Kliesch and I. Roth, Theory of quantum system certification, PRX Quantum 2, 010201 (2021).
  17. J. Helsen, I. Roth, E. Onorati, A. H. Werner, and J. Eisert, General framework for randomized benchmarking, PRX Quantum 3, 020357 (2022).
  18. S. T. Flammia and Y.-K. Liu, Direct fidelity estimation from few Pauli measurements, Phys. Rev. Lett. 106, 230501 (2011).
  19. G. J. Mooney, G. A. L. White, C. D. Hill, and L. C. L. Hollenberg, Generation and verification of 27-qubit Greenberger-Horne-Zeilinger states in a superconducting quantum computer, J. Phys. Commun. 5, 095004 (2021).
  20. S. A. Moses, C. H. Baldwin, M. S. Allman, R. Ancona, L. Ascarrunz, et al., A race-track trapped-ion quantum processor, Phys. Rev. X 13, 041052 (2023).
  21. J. F. Kam, H. Kang, C. D. Hill, G. J. Mooney, and L. C. L. Hollenberg, Characterization of entanglement on superconducting quantum computers of up to 414 qubits, Phys. Rev. Res. 6, 033155 (2024).
  22. A. Javadi-Abhari, S. Martiel, A. Seif, M. Takita, and K. X. Wei, Big cats: Entanglement in 120 qubits and beyond, arXiv:2510.09520.
  23. M. Ohliger, V. Nesme, and J. Eisert, Efficient and feasible state tomography of quantum many-body systems, New J. Phys. 15, 015024 (2013).
  24. S. Aaronson, Shadow tomography of quantum states, in Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2018 (Association for Computing Machinery, New York, NY, 2018), p. 325.
  25. H.-Y. Huang, R. Kueng, and J. Preskill, Predicting many properties of a quantum system from very few measurements, Nat. Phys. 16, 1050 (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 (2023).
  27. L. E. Fischer, T. Dao, I. Tavernelli, and F. Tacchino, Dual-frame optimization for informationally complete quantum measurements, Phys. Rev. A 109, 062415 (2024).
  28. A. Montanaro, Learning stabilizer states by Bell sampling, arXiv:1707.04012.
  29. S. Chen, J. Cotler, H.-Y. Huang, and J. Li, Exponential separations between learning with and without quantum memory, in 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science (FOCS) (IEEE, New Jersey, 2022), pp. 574–585.
  30. H.-Y. Huang, M. Broughton, J. Cotler, S. Chen, J. Li, M. Mohseni, H. Neven, R. Babbush, R. Kueng, J. Preskill, and J. R. McClean, Quantum advantage in learning from experiments, Science 376, 1182 (2022).
  31. D. Aharonov, J. Cotler, and X.-L. Qi, Quantum algorithmic measurement, Nat. Commun. 13, 887 (2022).
  32. S. Chen, J. Cotler, H.-Y. Huang, and J. Li, A hierarchy for replica quantum advantage, arXiv:2111.05874.
  33. Robbie King, David Gosset, Robin Kothari, and Ryan Babbush, Triply efficient shadow tomography, PRX Quantum 6, 010336 (2025).
  34. H.-Y. Huang, R. Kueng, and J. Preskill, Information-theoretic bounds on quantum advantage in machine learning, Phys. Rev. Lett. 126, 190505 (2021).
  35. S. Scali, C. Umeano, and O. Kyriienko, The topology of data hides in quantum thermal states, APL Quantum 1, 036106 (2024).
  36. D. Hangleiter and M. J. Gullans, Bell sampling from quantum circuits, Phys. Rev. Lett. 133, 020601 (2024).
  37. D. Gross, S. Nezami, and M. Walter, Schur-Weyl duality for the Clifford group with applications: Property testing, a robust Hudson theorem, and de Finetti representations, Commun. Math. Phys. 385, 1325 (2021).
  38. T. Haug and M. S. Kim, Scalable measures of magic resource for quantum computers, PRX Quantum 4, 010301 (2023).
  39. L. Leone, S. F. E. Oliviero, and A. Hamma, Learning T-doped stabilizer states, Quantum 8, 1361 (2024).
  40. T. Haug, S. Lee, and M. S. Kim, Efficient quantum algorithms for stabilizer entropies, Phys. Rev. Lett. 132, 240602 (2024).
  41. L. Bittel, J. Eisert, L. Leone, A. A. Mele, and S. F. E. Oliviero, A complete theory of the Clifford commutant, arXiv:2504.12263.
  42. L. Bittel and L. Leone, Operational interpretation of the stabilizer entropy, Quantum 10, 2069 (2025).
  43. J. Cotler, S. Choi, A. Lukin, H. Gharibyan, T. Grover, M. E. Tai, M. Rispoli, R. Schittko, P. M. Preiss, A. M. Kaufman, M. Greiner, H. Pichler, and P. Hayden, Quantum virtual cooling, Phys. Rev. X 9, 031013 (2019).
  44. B. Koczor, Exponential error suppression for near-term quantum devices, Phys. Rev. X 11, 031057 (2021).
  45. W. J. Huggins, S. McArdle, T. E. O’Brien, J. Lee, N. C. Rubin, S. Boixo, K. B. Whaley, R. Babbush, and J. R. McClean, Virtual distillation for quantum error mitigation, Phys. Rev. X 11, 041036 (2021).
  46. H. Hakoshima, S. Endo, K. Yamamoto, Y. Matsuzaki, and N. Yoshioka, Localized virtual purification, Phys. Rev. Lett. 133, 080601 (2024).
  47. C. Schmid et al., Experimental direct observation of mixed state entanglement, Phys. Rev. Lett. 101, 260505 (2008).
  48. R. Islam et al., Measuring entanglement entropy in a quantum many-body system, Nature (London) 528, 77 (2015).
  49. D. Bluvstein, H. Levine, G. Semeghini, T. T. Wang, S. Ebadi, et al., A quantum processor based on coherent transport of entangled atom arrays, Nature (London) 604, 451 (2022).
  50. P. W. Shor, Scheme for reducing decoherence in quantum computer memory, Phys. Rev. A 52, R2493 (1995).
  51. R. Laflamme, C. Miquel, J. P. Paz, and W. H. Zurek, Perfect quantum error correcting code, Phys. Rev. Lett. 77, 198 (1996).
  52. A. Steane, Multiple-particle interference and quantum error correction, Proc. R. Soc. London A 452, 2551 (1996).
  53. A. M. Steane, Error correcting codes in quantum theory, Phys. Rev. Lett. 77, 793 (1996).
  54. E. Knill and R. Laflamme, Theory of quantum error-correcting codes, Phys. Rev. A 55, 900 (1997).
  55. P. Shor and R. Laflamme, Quantum analog of the MacWilliams identities for classical coding theory, Phys. Rev. Lett. 78, 1600 (1997).
  56. A. R. Calderbank, E. M. Rains, P. M. Shor, and N. J. A. Sloane, Quantum error correction via codes over GF(4), IEEE Trans. Inf. Theory 44, 1369 (1998).
  57. E. M. Rains, Quantum weight enumerators, IEEE Trans. Inf. Theory 44, 1388 (1998).
  58. E. M. Rains, Quantum shadow enumerators, IEEE Trans. Inf. Theory 45, 2361 (1999).
  59. A. Ashikhmin and S. Litsyu, Upper bounds on the size of quantum codes, IEEE Trans. Inf. Theory 45, 1206 (1999).
  60. A. E. Ashikhmin, A. M. Barg, E. Knill, and S. N. Litsyn, Quantum error detection. I. statement of the problem, IEEE Trans. Inf. Theory 46, 778 (2000).
  61. F. J. MacWilliams, A theorem on the distribution of weights in a systematic code, Bell System Tech. J. 42, 79 (1963).
  62. A. M. Gleason, Weight polynomials of self-dual codes and the MacWilliams identities, in Actes du Congrès International des Mathématiciens (Gauthier-Villars, Paris, 1970), Vol. 3, pp. 211–215.
  63. F. J. MacWilliams and N. J. A. Sloane, The Theory of Error-Correcting Codes, 2nd ed. (North-Holland Publishing Company, Amsterdam, 1978).
  64. V. S. Pless and W. C. Huffman, Handbook of Coding Theory (Elsevier, Amsterdam, Netherlands, 1998).
  65. G. Nebe, E. M. Rains, and N. J. A. Sloane, Self-Dual Codes and Invariant Theory, Algorithms and Computation in Mathematics (Springer, Berlin, 2006), Vol. 17.
  66. A. Vardy, Algorithmic complexity in coding theory and the minimum distance problem, in Proceedings of the 29th Annual ACM Symposium on Theory of Computing (ACM, New York, 1997), pp. 92–109.
  67. C.-J. Cao, M. J. Gullans, B. Lackey, and Z. Wang, Quantum Lego expansion pack: Enumerators from tensor networks, PRX Quantum 5, 030313 (2024).
  68. C.-J. Cao and B. Lackey, Quantum weight enumerators and tensor networks, IEEE Trans. Inf. Theory 70, 3512 (2024).
  69. P. Braccia, P. Bermejo, L. Cincio, and M. Cerezo, Computing exact moments of local random quantum circuits via tensor networks, Quantum Mach. Intell. 6, 54 (2024).
  70. B. Pato, J. Vanlerberghe, C. Cao, B. Lackey, and K. Brown, PlanqTN, a Python library and interactive web app implementing the quantum LEGO framework, Zenodo (2025), https://zenodo.org/records/16761072.
  71. E. Kubischta, I. Teixeira, and J. M. Silvester, Quantum weight enumerators for real codes with x and z exactly transversal, arXiv:2306.12526.
  72. S. Bravyi and M. B. Hastings, Homological product codes, in Proceedings of the 46th ACM Symposium on Theory of Computing (STOC 2014) (ACM, New York, 2014), p. 273.
  73. N. P. Breuckmann and J. N. Eberhardt, Quantum low-density parity-check codes, PRX Quantum 2, 040101 (2021).
  74. P. Panteleev and G. Kalachev, Asymptotically good quantum and locally testable classical LDPC codes, in Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2022 (Association for Computing Machinery, New York, NY, 2022), p. 375.
  75. A. Leverrier and G. Zémor, Decoding quantum Tanner codes, IEEE Trans. Inf. Theory 69, 5100 (2023).
  76. S. Bravyi, A. W. Cross, J. M. Gambetta, D. Maslov, P. Rall, and T. J. Yoder, High-threshold and low-overhead fault-tolerant quantum memory, Nature (London) 627, 778 (2024).
  77. J. I. de Vicente and M. Huber, Multipartite entanglement detection from correlation tensors, Phys. Rev. A 84, 062306 (2011).
  78. W. Laskowski, M. Markiewicz, T. Paterek, and M. Żukowski, Correlation-tensor criteria for genuine multiqubit entanglement, Phys. Rev. A 84, 062305 (2011).
  79. C. Klöckl and M. Huber, Characterizing multipartite entanglement without shared reference frames, Phys. Rev. A 91, 042339 (2015).
  80. S. Morelli, C. Eltschka, M. Huber, and J. Siewert, Correlation constraints and the Bloch geometry of two qubits, Phys. Rev. A 109, 012423 (2024).
  81. N. Wyderka and O. Gühne, Characterizing quantum states via sector lengths, J. Phys. A 53, 345302 (2020).
  82. C. Eltschka and J. Siewert, Maximum N-body correlations do not in general imply genuine multipartite entanglement, Quantum 4, 229 (2020).
  83. M. Miller and D. Miller, GraphStateVis: Interactive visual analysis of qubit graph states and their stabilizer groups, in IEEE International Conference on Quantum Computing and Engineering (QCE), Broomfield, CO, USA, 2021 (IEEE, New Jersey, 2021), pp. 378–384.
  84. Y. Quek, D. Stilck Franca, S. Khatri, J. Jakob Meyer, and J. Eisert, Exponentially tighter bounds on limitations of quantum error mitigation, Nat. Phys. 20, 1648 (2024).
  85. T. Schuster and N. Y. Yao, Operator growth in open quantum systems, Phys. Rev. Lett. 131, 160402 (2023).
  86. B. M. Terhal, Bell inequalities and the separability criterion, Phys. Lett. A 271, 319 (2000).
  87. O. Gühne, P. Hyllus, D. Bruß, A. Ekert, M. Lewenstein, C. Macchiavello, and A. Sanpera, Detection of entanglement with few local measurements, Phys. Rev. A 66, 062305 (2002).
  88. M. Bourennane, M. Eibl, C. Kurtsiefer, S. Gaertner, H. Weinfurter, O. Gühne, P. Hyllus, D. Bruß, M. Lewenstein, and A. Sanpera, Experimental detection of multipartite entanglement using witness operators, Phys. Rev. Lett. 92, 087902 (2004).
  89. O. Gühne and G. Tóth, Entanglement detection, Phys. Rep. 474, 1 (2009).
  90. H. Aschauer, J. Calsamiglia, M. Hein, and H. J. Briegel, Local Invariants for Multi-partite Entangled States Allowing for a Simple Entanglement Criterion (Rinton Press, New Jersey, 2004), Vol. 4, p. 383.
  91. D. Miller, D. Loss, I. Tavernelli, H. Kampermann, D. Bruß, and N. Wyderka, Shor-Laflamme distributions of graph states and noise robustness of entanglement, J. Phys. A 56, 335303 (2023).
  92. P. Horodecki and A. Ekert, Method for direct detection of quantum entanglement, Phys. Rev. Lett. 89, 127902 (2002).
  93. R. Horodecki, P. Horodecki, M. Horodecki, and K. Horodecki, Quantum entanglement, Rev. Mod. Phys. 81, 865 (2009).
  94. J. H. Conway and N. J. A. Sloane, A new upper bound on the minimal distance of self-dual codes, IEEE Trans. Inf. Theory 36, 1319 (1990).
  95. W. K. Wootters, Entanglement of formation of an arbitrary state of two qubits, Phys. Rev. Lett. 80, 2245 (1998).
  96. P. Rungta, V. Bužek, C. M. Caves, M. Hillery, and G. J. Milburn, Universal state inversion and concurrence in arbitrary dimensions, Phys. Rev. A 64, 042315 (2001).
  97. A. Wong and N. Christensen, Potential multiparticle entanglement measure, Phys. Rev. A 63, 044301 (2001).
  98. W. Hall, Multipartite reduction criteria for separability, Phys. Rev. A 72, 022311 (2005).
  99. Digital feature: interactive version of this figure for arbitrary n<500, https://mc-zen.github.io/qsalto.
  100. S. Aaronson and D. Gottesman, Identifying stabilizer states, Perimeter Institute Recorded Seminar Archive (2008), http://pirsa.org/08080052/.
  101. A. R. R. Carvalho, F. Mintert, and A. Buchleitner, Decoherence and multipartite entanglement, Phys. Rev. Lett. 93, 230501 (2004).
  102. F. Mintert, M. Kuś, and A. Buchleitner, Concurrence of mixed multipartite quantum states, Phys. Rev. Lett. 95, 260502 (2005).
  103. F. Mintert and A. Buchleitner, Observable entanglement measure for mixed quantum states, Phys. Rev. Lett. 98, 140505 (2007).
  104. L. Aolita, A. Buchleitner, and F. Mintert, Scalable method to estimate experimentally the entanglement of multipartite systems, Phys. Rev. A 78, 022308 (2008).
  105. M. B. Hastings, I. González, A. B. Kallin, and R. G. Melko, Measuring Renyi entanglement entropy in quantum Monte Carlo simulations, Phys. Rev. Lett. 104, 157201 (2010).
  106. A. A. Mele, Introduction to Haar measure tools in quantum information: A beginner's tutorial, Quantum 8, 1340 (2024).
  107. Note that Eq. (C2) can be visually understood in the calculus of tensor network rewirings [106, 188]. This viewpoint leads to multicopy generalizations of Bell sampling to estimate higher-order Rényi entropies [189].
  108. Our package is available under https://github.com/Mc-Zen/qsalto and via pip install qsalto.
  109. Vandermonde's identity, ni=∑ln−ji−ljl, is a well-known result from combinatorics.
  110. A. J. Scott, Multipartite entanglement, quantum-error-correcting codes, and entangling power of quantum evolutions, Phys. Rev. A 69, 052330 (2004).
  111. J. L. Beckey, N. Gigena, P. J. Coles, and M. Cerezo, Computable and operationally meaningful multipartite entanglement measures, Phys. Rev. Lett. 127, 140501 (2021).
  112. A. R. Cullen and P. Kok, Calculating concentratable entanglement in graph states, Phys. Rev. A 106, 042411 (2022).
  113. J. L. Beckey, G. Pelegrí, S. Foulds, and N. J. Pearson, Multipartite entanglement measures via Bell-basis measurements, Phys. Rev. A 107, 062425 (2023).
  114. L. Schatzki, G. Liu, M. Cerezo, and E. Chitambar, Hierarchy of multipartite correlations based on concentratable entanglement, Phys. Rev. Res. 6, 023019 (2024).
  115. This redresses the claim made in Proposition 2 of Ref. [113]. The chief problem is that the estimator for the n-tangle assumes the value 2n in the rare event that none of the Bell measurements results in a triplet. In all other events, the same estimator assumes the value 0. Therefore, the denominator in the exponent of Höffding's inequality blows up exponentially, which renders measuring Tr[ΨΨ̃] sample inefficient for the protocol discussed in Ref. [113]. However, the situation is fully remedied if the access model is Ψ⊗Ψ⊤ rather than Ψ⊗Ψ, since in this case the n-tangle can be learned by applying the SWAP test to Ψ⊗Ψ̃=Ψ⊗Y⊗nΨ⊤Y⊗n.
  116. I. Pogorelov, T. Feldker, C. D. Marciniak, L. Postler, G. Jacob, et al., Compact ion-trap quantum computing demonstrator, PRX Quantum 2, 020343 (2021).
  117. D. C. McKay, C. J. Wood, S. Sheldon, J. M. Chow, and J. M. Gambetta, Efficient Z gates for quantum computing, Phys. Rev. A 96, 022330 (2017).
  118. A. Sørensen and K. Mølmer, Quantum computation with ions in thermal motion, Phys. Rev. Lett. 82, 1971 (1999).
  119. D. Maslov, Basic circuit compilation techniques for an ion-trap quantum machine, New J. Phys. 19, 023035 (2017).
  120. M. Hein, J. Eisert, and H. J. Briegel, Multiparty entanglement in graph states, Phys. Rev. A 69, 062311 (2004).
  121. A. Cabello, L. E. Danielsen, A. J. López-Tarrida, and J. R. Portillo, Optimal preparation of graph states, Phys. Rev. A 83, 042314 (2011).
  122. D. Miller, Small quantum networks in the qudit stabilizer formalism, Master's thesis, Heinrinch-Heine Universität Düsseldorf, 2019.
  123. For example, ρ=12|D1n〉〈D1n|+12|Dn−1n〉〈Dn−1n| in the notation of Eq. (95) is a state that—despite being GME—has a vanishing full-body sector length an[ρ], assuming n is odd [190].
  124. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information (Cambridge University Press, Cambridge, 2000).
  125. E. Kubischta and I. Teixeira, Family of quantum codes with exotic transversal gates, Phys. Rev. Lett. 131, 240601 (2023).
  126. For codes where XL is not transversal, it is sufficient to sample from |0,0〉L, |0,1〉L, and |1,1〉L because Bell states are symmetric under particle exchange (up to a global phase that is irrelevant here).
  127. H. Bombin and M. A. Martin-Delgado, Topological quantum distillation, Phys. Rev. Lett. 97, 180501 (2006).
  128. H. Bombin and M. A. Martin-Delgado, Topological quantum error correction with optimal encoding rate, Phys. Rev. A 73, 062303 (2006).
  129. C. Ryan-Anderson, N. C. Brown, M. S. Allman, B. Arkin, G. Asa-Attuah, et al., Implementing fault-tolerant entangling gates on the five-qubit code and the color code, arXiv:2208.01863.
  130. F. Butt, S. Heußen, M. Rispler, and M. Müller, Fault-tolerant code-switching protocols for near-term quantum processors, PRX Quantum 5, 020345 (2024).
  131. M. P. da Silva, C. R. Anderson, J. M. Bello-Rivas, A. Chernoguzov, J. M. Dreiling, et al., Demonstration of logical qubits and repeated error correction with better-than-physical error rates, arXiv:2404.02280.
  132. K. Mayer, C. R.-Anderson, N. Brown, E. Durso-Sabina, C. H. Baldwin, et al., Benchmarking logical three-qubit quantum Fourier transform encoded in the Steane code on a trapped-ion quantum computer, arXiv:2404.08616.
  133. C. Ryan-Anderson, N. C. Brown, C. H. Baldwin, J. M. Dreiling, C. Foltz, J. P. Gaebler, et al., High-fidelity teleportation of a logical qubit using transversal gates and lattice surgery, Science 385, 1327 (2024).
  134. M. Valentini, M. W. van Mourik, F. Butt, J. Wahl, M. Dietl, et al., Demonstration of two-dimensional connectivity for a scalable error-corrected ion-trap quantum processor architecture, Phys. Rev. X 15, 041023 (2025).
  135. H. Zhou, C. Zhao, M. Cain, D. Bluvstein, N. Maskara, C. Duckering, H.-Y. Hu, S.-T. Wang, A. Kubica, and M. D. Lukin, Low-overhead transversal fault tolerance for universal quantum computation, Nature (London) 646, 303 (2025).
  136. L. Postler, S. Heußen, I. Pogorelov, M. Rispler, T. Feldker, M. Meth, C. D. Marciniak, R. Stricker, M. Ringbauer, R. Blatt, P. Schindler, M. Müller, and T. Monz, Demonstration of fault-tolerant universal quantum gate operations, Nature (London) 605, 675 (2022).
  137. S. Heußen, L. Postler, M. Rispler, I. Pogorelov, C. D. Marciniak, T. Monz, P. Schindler, and M. Müller, Strategies for a practical advantage of fault-tolerant circuit design in noisy trapped-ion quantum computers, Phys. Rev. A 107, 042422 (2023).
  138. L. Postler, F. Butt, I. Pogorelov, C. D. Marciniak, S. Heußen, R. Blatt, P. Schindler, M. Rispler, M. Müller, and T. Monz, Demonstration of fault-tolerant Steane quantum error correction, PRX Quantum 5, 030326 (2024).
  139. I. Pogorelov, F. Butt, L. Postler, Ch. D. Marciniak, P. Schindler, M. Müller, and T. Monz, Experimental fault-tolerant code switching, Nat. Phys. 21, 298 (2025).
  140. R. Zen, J. Olle, L. Colmenarez, M. Puviani, M. Müller, and F. Marquardt, Quantum circuit discovery for fault-tolerant logical state preparation with reinforcement learning, Phys. Rev. X 15, 041012 (2025).
  141. T. Peham, L. Schmid, L. Berent, M. Müller, and R. Wille, Automated synthesis of fault-tolerant state preparation circuits for quantum error-correction codes, PRX Quantum 6, 020330 (2025).
  142. The respective ideal values are ã7[ρQECCideal]=0.176(1) and C[ρQECCideal]≥0.33(1).
  143. C. Skornia, J. von Zanthier, G. S. Agarwal, E. Werner, and H. Walther, Nonclassical interference effects in the radiation from coherently driven uncorrelated atoms, Phys. Rev. A 64, 063801 (2001).
  144. A. S. Sørensen and K. Mølmer, Probabilistic generation of entanglement in optical cavities, Phys. Rev. Lett. 90, 127903 (2003).
  145. C. Thiel, J. von Zanthier, T. Bastin, E. Solano, and G. S. Agarwal, Generation of symmetric Dicke states of remote qubits with linear optics, Phys. Rev. Lett. 99, 193602 (2007).
  146. W. Chen, J. Hu, Y. Duan, B. Braverman, H. Zhang, and V. Vuletić, Carving complex many-atom entangled states by single-photon detection, Phys. Rev. Lett. 115, 250502 (2015).
  147. E. J. Davis, Z. Wang, A. H. Safavi-Naeini, and M. H. Schleier-Smith, Painting nonclassical states of spin or motion with shaped single photons, Phys. Rev. Lett. 121, 123602 (2018).
  148. J. Ramette, J. Sinclair, Z. Li, and V. Vuletić, Carving entangled multiparticle states with exponentially improved fidelity, Phys. Rev. A 111, 052426 (2025).
  149. S. Welte, B. Hacker, S. Daiss, S. Ritter, and G. Rempe, Cavity carving of atomic Bell states, Phys. Rev. Lett. 118, 210503 (2017).
  150. S. Welte, B. Hacker, S. Daiss, S. Ritter, and G. Rempe, Photon-mediated quantum gate between two neutral atoms in an optical cavity, Phys. Rev. X 8, 011018 (2018).
  151. T. Đorđević, P. Samutpraphoot, P. L. Ocola, H. Bernien, B. Grinkemeyer, I. Dimitrova, V. Vuletić, and M. D. Lukin, Entanglement transport and a nanophotonic interface for atoms in optical tweezers, Science 373, 1511 (2021).
  152. S. Richter, S. Wolf, J. von Zanthier, and F. Schmidt-Kaler, Collective photon emission of two correlated atoms in free space, Phys. Rev. Res. 5, 013163 (2023).
  153. E. Magesan, J. M. Gambetta, and J. Emerson, Characterizing quantum gates via randomized benchmarking, Phys. Rev. A 85, 042311 (2012).
  154. For example, for m=1 and abbreviating ω=ρ⊗ρ, we find UωU†−ω=UωU†(1−U)−(1−U)ω, which implies ∥UωU†−ω∥1≤∥UωU†(1−U)∥1+∥(1−U)ω∥1 by the triangle inequality. Next, applying Hölder's inequality yields ∥UωU†(1−U)∥1≤∥U∥∞∥ω∥1∥U†∥∞∥(1−U)∥∞ and ∥(1−U)ω∥1≤∥1−U∥∞∥ω∥1. Since U is a unitary and ω is a state, we have ∥U∥∞=∥U†∥∞=∥ω∥1=1. Finally, ∥UωU†−ω∥1≤2minϕ∥U−1eiϕ∥∞ follows from minimizing the norm over the global phase, which completes the proof of Eq. (87) for m=1. The general case of m≥1 follows similarly using telescope sums.
  155. See https://mc-zen.github.io/qsalto/?n=500 for an illustration of this fact in an interactive online version of Fig. 1 for n=500 qubits.
  156. A. W. Harrow and S. Mehraban, Approximate unitary t-designs by short random quantum circuits using nearest-neighbor and long-range gates, Commun. Math. Phys. 401, 1531 (2023).
  157. For the e=20 curve, however, we observe an initial increase of N with n. This is due to the competing effects, e.g., for n=21 (n=40), the state is local-unitary equivalent to e=1 (e=n/2). These two extreme cases have opposite behaviors as described in the main text.
  158. M. Bergmann and O. Gühne, Entanglement criteria for Dicke states, J. Phys. A 46, 385304 (2013).
  159. H. Häffner, W. Hänsel, C. F. Roos, J. Benhelm, D. Chek-al kar, et al., Scalable multiparticle entanglement of trapped ions, Nature (London) 438, 643 (2005).
  160. A. Peres, Separability criterion for density matrices, Phys. Rev. Lett. 77, 1413 (1996).
  161. M. Horodecki, P. Horodecki, and R. Horodecki, Separability of mixed states: Necessary and sufficient conditions, Phys. Lett. A 223, 1 (1996).
  162. Y. Zhou, P. Zeng, and Z. Liu, Single-copies estimation of entanglement negativity, Phys. Rev. Lett. 125, 200502 (2020).
  163. 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).
  164. 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).
  165. A. Rico and F. Huber, Entanglement detection with trace polynomials, Phys. Rev. Lett. 132, 070202 (2024).
  166. B. Vermersch, M. Ljubotina, J. I. Cirac, P. Zoller, M. Serbyn, and L. Piroli, Many-body entropies and entanglement from polynomially many local measurements, Phys. Rev. X 14, 031035 (2024).
  167. E. M. Rains, Polynomial invariants of quantum codes, IEEE Trans. Inf. Theory 46, 54 (2000).
  168. F. Huber, Positive maps and trace polynomials from the symmetric group, J. Math. Phys. 62, 022203 (2021).
  169. G. Anglès Munné, A. Nemec, and F. Huber, SDP bounds on quantum codes, arXiv:2408.10323.
  170. A. Kukliansky and B. Lackey, Quantum circuit tensors and enumerators with applications to quantum fault tolerance, IEEE Trans. Inf. Theory 71, 4406 (2025).
  171. P. Rall, Signed quantum weight enumerators characterize qubit magic state distillation, arXiv:1702.06990.
  172. C. K. Hong, Z. Y. Ou, and L. Mandel, Measurement of subpicosecond time intervals between two photons by interference, Phys. Rev. Lett. 59, 2044 (1987).
  173. C. M. Alves and D. Jaksch, Multipartite entanglement detection in bosons, Phys. Rev. Lett. 93, 110501 (2004).
  174. A. J. Daley, H. Pichler, J. Schachenmayer, and P. Zoller, Measuring entanglement growth in quench dynamics of bosons in an optical lattice, Phys. Rev. Lett. 109, 020505 (2012).
  175. J. C. Garcia-Escartin and P. Chamorro-Posada, swap test and Hong-Ou-Mandel effect are equivalent, Phys. Rev. A 87, 052330 (2013).
  176. F. Shi, K. Guo, X. Zhang, and Q. Zhao, Exploring quantum weight enumerators from the n-qubit parallelized swap test, arXiv:2406.18280.
  177. https://www.millenion.eu/.
  178. https://pasquans2.eu/.
  179. https://www.quantensysteme.info/projektatlas/projekte/q/realistiq.
  180. https://www.quantensysteme.info/projektatlas/projekte/q/qsolid.
  181. https://www.quantensysteme.info/projektatlas/projekte/q/muniqc-atoms.
  182. https://www.quantensysteme.info/projektatlas/projekte/q/daqc.
  183. https://www.quantensysteme.info/projektatlas/projekte/q/qusol.
  184. https://www.quantensysteme.info/projektatlas/projekte/q/hybrid++.
  185. https://www.quantensysteme.info/projektatlas/projekte/q/pasquops.
  186. https://berlinquantum.de/.
  187. https://erc.europa.eu/sites/default/files/2023-03/erc-2022-adg-results-all-domains.pdf; EISERT Jens Freie Universität Berlin Free University of Berlin DE DebuQC Delineating the boundary between the computational power of quantum and classical devices PE2.
  188. J. C. Bridgeman and C. T. Chubb, Hand-waving and interpretive dance: An introductory course on tensor networks, J. Phys. A 50, 223001 (2017).
  189. Y. Subaşı, L. Cincio, and P. J. Coles, Entanglement spectroscopy with a depth-two quantum circuit, J. Phys. A 52, 044001 (2019).
  190. D. Kaszlikowski, A. Sen(De), U. Sen, V. Vedral, and A. Winter, Quantum correlation without classical correlations, Phys. Rev. Lett. 101, 070502 (2008).
  191. L. Schatzki, L. Ma, E. Solomonik, and E. Chitambar, Tensor rank and other multipartite entanglement measures of graph states, Phys. Rev. A 110, 032409 (2024).
  192. D. Miller, L. E. Fischer, K. Levi, E. J. Kuehnke, I. O. Sokolov, P. Kl. Barkoutsos, J. Eisert, and I. Tavernelli, Hardware-tailored diagonalization circuits, npj Quantum Inf. 10, 122 (2024).
  193. C. Bertoni, J. Haferkamp, M. Hinsche, M. Ioannou, J. Eisert, and H. Pashayan, Shallow shadows: Expectation estimation using low-depth random Clifford circuits, Phys. Rev. Lett. 133, 020602 (2024).
  194. A. S. Dalvi, J. Whitlow, M. D’Onofrio, L. Riesebos, T. Chen, S. Phiri, K. R. Brown, and J. M. Baker, One-time compilation of device-level instructions for quantum subroutines, in IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, QC, Canada, 2024 (IEEE, New Jersey, 2024), pp. 873–884.
  195. L. E. Fischer, D. Miller, F. Tacchino, P. K. Barkoutsos, D. J. Egger, and I. Tavernelli, Ancilla-free implementation of generalized measurements for qubits embedded in a qudit space, Phys. Rev. Res. 4, 033027 (2022).
  196. R. Stricker, M. Meth, L. Postler, C. Edmunds, C. Ferrie, R. Blatt, P. Schindler, T. Monz, R. Kueng, and M. Ringbauer, Experimental single-setting quantum state tomography, PRX Quantum 3, 040310 (2022).
  197. M. C. Tran, B. Dakić, W. Laskowski, and T. Paterek, Correlations between outcomes of random measurements, Phys. Rev. A 94, 042302 (2016).
  198. R. F. Werner, Quantum states with Einstein-Podolsky-Rosen correlations admitting a hidden-variable model, Phys. Rev. A 40, 4277 (1989).
  199. F. Huber, O. Gühne, and J. Siewert, Absolutely maximally entangled states of seven qubits do not exist, Phys. Rev. Lett. 118, 200502 (2017).
  200. S. Bravyi, D. Lee, Z. Li, and B. Yoshida, How much entanglement is needed for quantum error correction? Phys. Rev. Lett. 134, 210602 (2025).
  201. S. Sang, T. H. Hsieh, and Y. Zou, Approximate quantum error correcting codes from conformal field theory, Phys. Rev. Lett. 133, 210601 (2024).
  202. Y. Zhang, T. H. Hsieh, Y. B. Kim, and Y. Zou, Probing mixed-state phases on a quantum computer via Renyi correlators and variational decoding, arXiv:2505.02900.
  203. L. Leone, S. F. E. Oliviero, and A. Hamma, Stabilizer Rényi entropy, Phys. Rev. Lett. 128, 050402 (2022).

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