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Fermionic Non-Gaussianity via Bell Sampling: Monotones and Efficient Quantum Algorithms

Poetri Sonya Tarabunga*

  • *Contact author: poetri.tarabunga@tum.de

PRX Quantum 7, 033065 – Published 23 September, 2026

DOI: https://doi.org/10.1103/1bkz-7wf2

Abstract

Fermionic non-Gaussianity is an essential resource for unlocking the full computational power of fermionic quantum platforms. In this work we develop monotones and efficient quantum algorithms for fermionic non-Gaussianity, all built on the eigenvalue structure of the operator Λ=∑j=12nγj⊗γj defined on two copies of an n-mode fermionic state, accessible via Bell sampling. In particular, we introduce the bridge degree of even pure states, a novel non-Gaussianity monotone defined as the largest eigenvalue of Λ whose eigenspace is populated by two copies of the state. Our key technical result is that the bridge degree is non-increasing under post-selected Gaussian protocols, which yields no-go theorems for Gaussian conversion beyond the reach of previously known monotones and shows that the resource theory of fermionic non-Gaussianity is irreversible in the exact-conversion setting. Beyond this, the bridge degree exhibits several further features: it (i) is easy to compute, (ii) is efficiently witnessed through Bell sampling, (iii) lower bounds the non-Gaussian gate complexity of state preparation, (iv) controls the non-Gaussian gate complexity of producing quantum state designs, and (v) naturally extends to mixed states via the Choi-Jamiołkowski isomorphism. We further develop an approximate variant together with an efficiently measurable lower bound, yielding an experimentally certifiable lower bound on the non-Gaussian cost of approximately preparing any state, based directly on Bell-sampling data. Finally, the same eigenvalue structure underlies two Bell-sampling-based algorithmic primitives, both with polynomial sample complexity: a two-copy Gaussianity test with perfect completeness, optimal among two-copy tests sharing this property, and a test for the state 2-design property of matchgate-invariant ensembles.

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References (127)

  1. J. Preskill, Quantum computing and the entanglement frontier, arXiv:1203.5813.
  2. A. W. Harrow and A. Montanaro, Quantum computational supremacy, Nature (London) 549, 203 (2017).
  3. G. Gour, Quantum Resource Theories (Cambridge University Press, Cambridge, England, 2025).
  4. E. Chitambar and G. Gour, Quantum resource theories, Rev. Mod. Phys. 91, 025001 (2019).
  5. E. Knill, Fermionic linear optics and matchgates, arXiv:quant-ph/0108033.
  6. L. G. Valiant, Quantum computers that can be simulated classically in polynomial time, in Proceedings of the Thirty-Third Annual ACM Symposium on Theory of Computing, STOC ’01 (Association for Computing Machinery, New York, NY, 2001), pp. 114–123.
  7. B. M. Terhal and D. P. DiVincenzo, Classical simulation of noninteracting-fermion quantum circuits, Phys. Rev. A 65, 032325 (2002).
  8. R. Jozsa and A. Miyake, Matchgates and classical simulation of quantum circuits, Proc. R. Soc. A 464, 3089 (2008).
  9. S. Bravyi, Lagrangian representation for fermionic linear optics, Quantum Inf. Comput. 5, 216 (2005).
  10. D. J. Brod, Efficient classical simulation of matchgate circuits with generalized inputs and measurements, Phys. Rev. A 93, 062332 (2016).
  11. J. Surace and L. Tagliacozzo, Fermionic Gaussian states: An introduction to numerical approaches, SciPost Phys. Lect. Notes, 54 (2022).
  12. A. Altland and B. D. Simons, Condensed Matter Field Theory (Cambridge University Press, Cambridge, England, 2010).
  13. D. R. Hartree, The wave mechanics of an atom with a non-Coulomb central field. Part I. Theory and methods, Math. Proc. Cambridge Philos. Soc. 24, 89 (1928).
  14. A. Kitaev, Anyons in an exactly solved model and beyond, Ann. Phys. (N.Y.) 321, 2 (2006).
  15. M. Hebenstreit, R. Jozsa, B. Kraus, S. Strelchuk, and M. Yoganathan, All pure fermionic non-Gaussian states are magic states for matchgate computations, Phys. Rev. Lett. 123, 080503 (2019).
  16. J. Koepsell, D. Bourgund, P. Sompet, S. Hirthe, A. Bohrdt, Y. Wang, F. Grusdt, E. Demler, G. Salomon, C. Gross, and I. Bloch, Microscopic evolution of doped Mott insulators from polaronic metal to Fermi liquid, Science 374, 82 (2021).
  17. P. T. Brown, D. Mitra, E. Guardado-Sanchez, R. Nourafkan, A. Reymbaut, C.-D. Hébert, S. Bergeron, A.-M. S. Tremblay, J. Kokalj, D. A. Huse, P. Schauß, and W. S. Bakr, Bad metallic transport in a cold atom Fermi-Hubbard system, Science 363, 379 (2019).
  18. T. Hartke, B. Oreg, C. Turnbaugh, N. Jia, and M. Zwierlein, Direct observation of nonlocal fermion pairing in an attractive Fermi-Hubbard gas, Science 381, 82 (2023).
  19. M. Xu, L. H. Kendrick, A. Kale, Y. Gang, C. Feng, S. Zhang, A. W. Young, M. Lebrat, and M. Greiner, A neutral-atom hubbard quantum simulator in the cryogenic regime, Nature (London) 642, 909 (2025).
  20. J. Vijayan, P. Sompet, G. Salomon, J. Koepsell, S. Hirthe, A. Bohrdt, F. Grusdt, I. Bloch, and C. Gross, Time-resolved observation of spin-charge deconfinement in fermionic Hubbard chains, Science 367, 186 (2020).
  21. R. Jördens, N. Strohmaier, K. Günter, H. Moritz, and T. Esslinger, A mott insulator of fermionic atoms in an optical lattice, Nature (London) 455, 204 (2008).
  22. D. González-Cuadra, D. Bluvstein, M. Kalinowski, R. Kaubruegger, N. Maskara, P. Naldesi, T. V. Zache, A. M. Kaufman, M. D. Lukin, H. Pichler, B. Vermersch, J. Ye, and P. Zoller, Fermionic quantum processing with programmable neutral atom arrays, Proc. Natl. Acad. Sci. U.S.A. 120, 35 (2023).
  23. R. W. Chien, M. Chiew, B. Harrison, J. Necaise, W. Wang, M. Mudassar, C. McLauchlan, T. M. Henderson, G. E. Scuseria, S. Strelchuk, and J. D. Whitfield, Simulating fermions with a digital quantum computer, Nat. Rev. Phys. 8, 131 (2026).
  24. P. Bojović, T. Hilker, S. Wang, J. Obermeyer, M. Barendregt, D. Tell, T. Chalopin, P. M. Preiss, I. Bloch, and T. Franz, High-fidelity collisional quantum gates with fermionic atoms, Nature (London) 652, 602 (2026).
  25. B. Dias and R. Koenig, Classical simulation of non-Gaussian fermionic circuits, Quantum 8, 1350 (2024).
  26. J. Cudby and S. Strelchuk, Gaussian decomposition of magic states for matchgate computations, arXiv:2307.12654.
  27. O. Reardon-Smith, Mł Oszmaniec, and K. Korzekwa, Improved simulation of quantum circuits dominated by free fermionic operations, Quantum 8, 1549 (2024).
  28. P. S. Tarabunga, B. Jobst, R. Morral-Yepes, M. Langer, B. Kraus, F. Pollmann, and S.-H. Lin, Computable fermionic non-Gaussianity from the covariance matrix, arXiv:2607.02242.
  29. A. D. Gottlieb and N. J. Mauser, Properties of nonfreeness: An entropy measure of electron correlation, arXiv:quant-ph/0608171.
  30. A. D. Gottlieb and N. J. Mauser, Correlation in fermion or boson systems as the minimum of entropy relative to all free states, arXiv:1403.7640.
  31. X. Lyu and K. Bu, Fermionic Gaussian testing and non-Gaussian measures via convolution, arXiv:2409.08180.
  32. C. J. Turner, K. Meichanetzidis, Z. Papić, and J. K. Pachos, Optimal free descriptions of many-body theories, Nat. Commun. 8, 14926 (2017).
  33. J. K. Pachos and Z. Papic, Quantifying the effect of interactions in quantum many-body systems, SciPost Phys. Lect. Notes 4 (2018).
  34. J. K. Pachos and C. Vlachou, Quantifying fermionic interactions from the violation of Wick’s theorem, Quantum 6, 840 (2022).
  35. K. Meichanetzidis, C. J. Turner, A. Farjami, Z. Papić, and J. K. Pachos, Free-fermion descriptions of parafermion chains and string-net models, Phys. Rev. B 97, 125104 (2018).
  36. L. Coffman, G. Smith, and X. Gao, Measuring non-Gaussian magic in fermions: Convolution, entropy, and the violation of Wick’s theorem and the matchgate identity, arXiv:2501.06179.
  37. P. Sierant, P. Stornati, and X. Turkeshi, Fermionic magic resources of quantum many-body systems, PRX Quantum 7, 010302 (2026).
  38. Gé Vidal, Entanglement monotones, J. Mod. Opt. 47, 355 (2000).
  39. T. Baumgratz, M. Cramer, and M. B. Plenio, Quantifying coherence, Phys. Rev. Lett. 113, 140401 (2014).
  40. L. Bittel and L. Leone, Operational interpretation of the stabilizer entropy, Quantum 10, 2069 (2026).
  41. F. A. Mele, S. F. E. Oliviero, V. Upreti, and U. Chabaud, Symplectic rank of non-Gaussian quantum states, PRX Quantum 7, 020366 (2026).
  42. The name bridge operator was coined later in Ref. [93].

  43. D. Hangleiter and M. J. Gullans, Bell sampling from quantum circuits, Phys. Rev. Lett. 133, 020601 (2024).
  44. 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).
  45. H.-Y. Huang, R. Kueng, and J. Preskill, Information-theoretic bounds on quantum advantage in machine learning, Phys. Rev. Lett. 126, 190505 (2021).
  46. T. Haug and M. S. Kim, Scalable measures of magic resource for quantum computers, PRX Quantum 4, 010301 (2023).
  47. A. Montanaro, Learning stabilizer states by Bell sampling, arXiv:1707.04012.
  48. 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).
  49. S. Grewal, V. Iyer, W. Kretschmer, and D. Liang, Efficient learning of quantum states prepared with few non-Clifford gates, Quantum 9, 1907 (2025).
  50. R. King, D. Gosset, R. Kothari, and R. Babbush, Triply efficient shadow tomography, PRX Quantum 6, 010336 (2025).
  51. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, Cambridge, England, 2010).
  52. 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 Computer Society, Los Alamitos, CA, USA, 2022), pp. 574–585.
  53. D. Bluvstein, S. J. Evered, A. A. Geim, S. H. Li, H. Zhou, T. Manovitz, S. Ebadi, M. Cain, M. Kalinowski, D. Hangleiter et al., Logical quantum processor based on reconfigurable atom arrays, Nature (London) 626, 58 (2024).
  54. R. Islam, R. Ma, P. M. Preiss, M. Eric Tai, A. Lukin, M. Rispoli, and M. Greiner, Measuring entanglement entropy in a quantum many-body system, Nature (London) 528, 77 (2015).
  55. A. M. Kaufman, M. E. Tai, A. Lukin, M. Rispoli, R. Schittko, P. M. Preiss, and M. Greiner, Quantum thermalization through entanglement in an isolated many-body system, Science 353, 794 (2016).
  56. N. M. Linke, S. Johri, C. Figgatt, K. A. Landsman, A. Y. Matsuura, and C. Monroe, Measuring the Rényi entropy of a two-site fermi-hubbard model on a trapped ion quantum computer, Phys. Rev. A 98, 052334 (2018).
  57. T. Haug and P. S. Tarabunga, Efficient witnessing and testing of magic in mixed quantum states, npj Quantum Inf. 12, 40 (2026).
  58. P. S. Tarabunga and Y.-M. Ding, Bell sampling in quantum monte carlo simulations, Phys. Rev. Lett. 135, 200403 (2025).
  59. P. S. Tarabunga and T. Haug, Efficient mutual magic and magic capacity with matrix product states, Scipost Phys. 19, 085 (2025).
  60. G. Lami and M. Collura, Nonstabilizerness via perfect pauli sampling of matrix product states, Phys. Rev. Lett. 131, 180401 (2023).
  61. T. Haug and L. Piroli, Stabilizer entropies and nonstabilizerness monotones, Quantum 7, 1092 (2023).
  62. P. S. Tarabunga, E. Tirrito, T. Chanda, and M. Dalmonte, Many-body magic via Pauli-Markov chains—from criticality to gauge theories, PRX Quantum 4, 040317 (2023).
  63. M. Collura, J. D. Nardis, V. Alba, and G. Lami, The non-stabilizerness of fermionic Gaussian states, Quantum 10, 2036 (2026).
  64. E. Knill, D. Leibfried, R. Reichle, J. Britton, R. B. Blakestad, J. D. Jost, C. Langer, R. Ozeri, S. Seidelin, and D. J. Wineland, Randomized benchmarking of quantum gates, Phys. Rev. A 77, 012307 (2008).
  65. H.-Y. Huang, R. Kueng, and J. Preskill, Predicting many properties of a quantum system from very few measurements, Nat. Phys. 16, 1050 (2020).
  66. Z. Ji, Y.-K. Liu, and F. Song, Pseudorandom quantum states, in Advances in Cryptology—CRYPTO 2018 (Springer International Publishing, Cham, Switzerland, 2018), pp. 126–152.
  67. S. Aaronson and P. Christiano, Quantum money from hidden subspaces, in Proceedings of the Forty-Fourth Annual ACM Symposium on Theory of Computing, STOC ’12 (Association for Computing Machinery, New York, NY, USA, 2012), pp. 41–60.
  68. W. Kretschmer, Quantum Pseudorandomness and Classical Complexity, in 16th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2021), Leibniz International Proceedings in Informatics (LIPIcs), edited by M.-H. Hsieh (Schloss Dagstuhl—Leibniz-Zentrum für Informatik, Germany, 2021), Vol. 197, pp. 2:1–2:20.
  69. S. Boixo, S. V. Isakov, V. N. Smelyanskiy, R. Babbush, N. Ding, Z. Jiang, M. J. Bremner, J. M. Martinis, and H. Neven, Characterizing quantum supremacy in near-term devices, Nat. Phys. 14, 595 (2018).
  70. A. Bouland, B. Fefferman, C. Nirkhe, and U. Vazirani, On the complexity and verification of quantum random circuit sampling, Nat. Phys. 15, 159 (2018).
  71. Y. Nakata, Y. Takeuchi, M. Kliesch, and A. Darmawan, Computational complexity of unitary and state design properties, PRX Quantum 6, 030345 (2025).
  72. B. M. Terhal and Pł Horodecki, Schmidt number for density matrices, Phys. Rev. A 61, 040301(R) (2000).
  73. S. Bravyi, Classical capacity of fermionic product channels, arXiv:quant-ph/0507282.
  74. C. H. Bennett, H. J. Bernstein, S. Popescu, and B. Schumacher, Concentrating partial entanglement by local operations, Phys. Rev. A 53, 2046 (1996).
  75. G. Vidal and J. I. Cirac, Irreversibility in asymptotic manipulations of entanglement, Phys. Rev. Lett. 86, 5803 (2001).
  76. A. Ambainis and J. Emerson, Quantum t-designs: t-wise independence in the quantum world, arXiv:quant-ph/0701126.
  77. L. Leone, S. F. E. Oliviero, A. Hamma, J. Eisert, and L. Bittel, Non-clifford cost of random unitaries, PRX Quantum 7, 020321 (2026).
  78. J. Haferkamp, F. Montealegre-Mora, M. Heinrich, J. Eisert, D. Gross, and I. Roth, Efficient unitary designs with a system-size independent number of non-clifford gates, Commun. Math. Phys. 397, 995 (2022).
  79. Y. Zhang, S. Vijay, Y. Gu, and Y. Bao, Designs from magic-augmented clifford circuits, PRX Quantum 7, 010344 (2026).
  80. H. Buhrman, L. Fortnow, I. Newman, and H. Röhrig, Quantum property testing, SIAM J. Comput. 37, 1387 (2008).
  81. F. Girardi, F. Witteveen, F. A. Mele, L. Bittel, S. F. E. Oliviero, D. Gross, and M. Walter, Is it gaussian? Testing bosonic quantum states, arXiv:2510.07305.
  82. L. Bittel, A. A. Mele, J. Eisert, and L. Leone, Optimal trace-distance bounds for free-fermionic states: Testing and improved tomography, PRX Quantum 6, 030341 (2025).
  83. M. Walter and F. Witteveen, A random purification channel for arbitrary symmetries with applications to fermions and bosons, arXiv:2512.15690.
  84. F. de Melo, P. Ćwikliński, and B. M. Terhal, The power of noisy fermionic quantum computation, New J. Phys, 15, 013015 (2013).
  85. V. Veitch, S. A. Hamed Mousavian, D. Gottesman, and J. Emerson, The resource theory of stabilizer quantum computation, New J. Phys. 16, 013009 (2014).
  86. R. Takagi and Q. Zhuang, Convex resource theory of non-Gaussianity, Phys. Rev. A 97, 062337 (2018).
  87. C. Spee, K. Schwaiger, G. Giedke, and B. Kraus, Mode entanglement of Gaussian fermionic states, Phys. Rev. A 97, 042325 (2018).
  88. F. Albarelli, M. G. Genoni, M. G. A. Paris, and A. Ferraro, Resource theory of quantum non-Gaussianity and wigner negativity, Phys. Rev. A 98, 052350 (2018).
  89. O. Reardon-Smith, The fermionic linear optical extent is multiplicative for 4 qubit parity eigenstates, arXiv:2407.20934.
  90. A. A. Mele, Introduction to haar measure tools in quantum information: A beginner’s tutorial, Quantum 8, 1340 (2024).
  91. M. Kliesch and I. Roth, Theory of quantum system certification, PRX Quantum 2, 010201 (2021).
  92. For the matchgate implementation, the Bell states are obtained up to phases.
  93. P. Sierant, X. Turkeshi, and P. S. Tarabunga, Theory of the matchgate commutant, arXiv:2603.12392.
  94. P. Braccia, N. L. Diaz, M. Larocca, M. Cerezo, and D. García-Martín, The commutant of fermionic Gaussian unitaries, arXiv:2603.19210.
  95. A. A. Mele and Y. Herasymenko, Efficient learning of quantum states prepared with few fermionic non-Gaussian gates, PRX Quantum 6, 010319 (2025).
  96. P. Sonya Tarabunga, M. Frau, T. Haug, E. Tirrito, and L. Piroli, A nonstabilizerness monotone from stabilizerness asymmetry, Quantum Sci. Technol. 10, 045026 (2025).
  97. F. B. Trigueros, Z.-H. Sun, X. Turkeshi, P. Sierant, and P. S. Tarabunga, Unitary designs from doped matchgate circuits, arXiv:2606.23800.
  98. S. B. Bravyi and A. Y. Kitaev, Fermionic quantum computation, Ann. Phys. (N.Y.) 298, 210 (2002).
  99. M. Semenyakin, Y. Cheipesh, and Y. Herasymenko, Classifying fermionic states via many-body correlation measures, Quantum 9, 1705 (2025).
  100. In subsequent work with collaborators [103], we show that the Gaussian nullity shares both properties.

  101. This follows from the fact that any 4-qubit even pure state can be transformed by a matchgate unitary into the form |ψ⟩=α|0000⟩+β|1111⟩ [15].

  102. B. Regula and L. Lami, Reversibility of quantum resources through probabilistic protocols, Nat. Commun. 15, 3096 (2024).
  103. X. Turkeshi, P. Sierant, and P. S. Tarabunga, Williamson majorization theory of fermionic non-gaussianity, arXiv:2608.10140.
  104. D. E. Knuth, The Art of Computer Programming, Volume 1: Fundamental Algorithms, 3rd ed. (Addison-Wesley, Reading, MA, 1997).
  105. W. Feller, An Introduction to Probability Theory and Its Applications, 2nd ed. (John Wiley & Sons Inc., New York, 1971), Vol. II, pp. xxiv–669.
  106. A. L. Shaw, Z. Chen, J. Choi, D. K. Mark, P. Scholl, R. Finkelstein, A. Elben, S. Choi, and M. Endres, Benchmarking highly entangled states on a 60-atom analogue quantum simulator, Nature (London) 628, 71 (2024).
  107. A. Dvoretzky, J. Kiefer, and J. Wolfowitz, Asymptotic minimax character of the sample distribution function and of the classical multinomial estimator, Ann. Math. Stat. 27, 642 (1956).
  108. P. Massart, The tight constant in the Dvoretzky-Kiefer-Wolfowitz inequality, Ann. Probab. 18, 1269 (1990).
  109. A. E. Rastegin, A lower bound on the relative error of mixed-state cloning and related operations, J. Opt. B 5, S647 (2003).
  110. This can be seen already for one qubit, where |σ01⟩|σ00⟩ and |σ00⟩|σ11⟩ are both in V˜2, yet the former is symmetric while the latter is antisymmetric under exchange.

  111. A. Maurer and M. Pontil, Empirical Bernstein bounds and sample-variance penalization, in the proceedings of the 22nd Annual Conference on Learning Theory (COLT 2009), Montreal, Canada (2009), https://www.cs.mcgill.ca/~colt2009/proceedings.html.
  112. C. L. Canonne, A short note on learning discrete distributions, arXiv:2002.11457.
  113. C. McDiarmid, On the method of bounded differences, Surveys in Combinatorics, 1989 (Cambridge University Press, Cambridge, England, 1989), pp. 148–188.
  114. G. Valiant and P. Valiant, An automatic inequality prover and instance optimal identity testing, SIAM J. Comput. 46, 429 (2017).
  115. K. Warmuz, E. Dokudowiec, C. Radhakrishnan, and T. Byrnes, Magic monotone for faithful detection of nonstabilizerness in mixed states, Phys. Rev. Lett. 135, 010203 (2025).
  116. R. A. Macedo, P. Andriolo, S. Zamora, D. Poderini, and R. Chaves, Witnessing magic with bell inequalities, arXiv:2503.18734.
  117. O. Gühne and G. Tóth, Entanglement detection, Phys. Rep. 474, 1 (2009).
  118. P. S. Tarabunga and T. Haug, Quantifying mixed-state entanglement via partial transpose and realignment moments, Quantum 10, 2194 (2026).
  119. A. Rico and F. Huber, Entanglement detection with trace polynomials, Phys. Rev. Lett. 132, 070202 (2024).
  120. A. Rico, State–entanglement-witness contraction, Phys. Rev. Lett. 135, 170201 (2025).
  121. M. Lastres and S. Moudgalya, Geometry of free fermion commutants, arXiv:2604.05031.
  122. T. Haug, X. Turkeshi, and P. Sierant, Practical tests and witnesses of fermionic non-gaussianity, arXiv:2605.26218.
  123. A. Smirnov, On the instanton r-matrix, Commun. Math. Phys. 345, 703 (2016).
  124. T. Miwa, M. Jimbo, and E. Date, in Solitons: Differential Equations, Symmetries and Infinite Dimensional Algebras, Cambridge Tracts in Mathematics Vol. 135 (Cambridge University Press, Cambridge, England, 2000).
  125. M. Urbanek, B. Nachman, V. R. Pascuzzi, A. He, C. W. Bauer, and W. A. de Jong, Mitigating depolarizing noise on quantum computers with noise-estimation circuits, Phys. Rev. Lett. 127, 270502 (2021).
  126. A. M. Dalzell, N. Hunter-Jones, and F. G. S. L. Brandão, Random quantum circuits transform local noise into global white noise, Commun. Math. Phys. 405, 78 (2024).
  127. J. Vovrosh, K. E. Khosla, S. Greenaway, C. Self, M. S. Kim, and J. Knolle, Simple mitigation of global depolarizing errors in quantum simulations, Phys. Rev. E 104, 035309 (2021).

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