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Matchgate Circuits Deeply Thermalize

Mircea Bejan1, Benjamin Béri1,2, and Max McGinley1

Phys. Rev. Lett. 135, 020401 – Published 7 July, 2025

DOI: https://doi.org/10.1103/v8kp-39ry

Abstract

We study the ensemble of states generated by performing projective measurements on the output of a random matchgate (or free-fermionic) quantum circuit. We rigorously show that this “projected ensemble” exhibits deep thermalization: for large system sizes, it converges toward a universal ensemble that is uniform over the manifold of Gaussian fermionic states. As well as proving momentwise convergence of these ensembles, we demonstrate that the full distribution of any physical observable in the projected ensemble is close to its universal form in Wasserstein-1 distance, which we argue is an appropriate and efficiently computable measure of convergence when studying deep thermalization. Using this metric, we also numerically find that local matchgate circuits deeply thermalize after a timescale t∼L2 set by the diffusive spreading of quantum information. Our work opens up new avenues to experimentally accessible protocols to probe the emergence of quantum statistical mechanics and benchmark quantum simulators.

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References (81)

  1. J. M. Deutsch, Phys. Rev. A 43, 2046 (1991).
  2. M. Srednicki, Phys. Rev. E 50, 888 (1994).
  3. A. M. Kaufman, M. E. Tai, A. Lukin, M. Rispoli, R. Schittko, P. M. Preiss, and M. Greiner, Science 353, 794 (2016).
  4. C. Neill et al., Nat. Phys. 12, 1037 (2016).
  5. S. Popescu, A. J. Short, and A. Winter, Nat. Phys. 2, 754 (2006).
  6. S. Goldstein, J. L. Lebowitz, R. Tumulka, and N. Zanghì, Phys. Rev. Lett. 96, 050403 (2006).
  7. E. Altman et al., PRX Quantum 2, 017003 (2021).
  8. J. S. Cotler, D. K. Mark, H.-Y. Huang, F. Hernández, J. Choi, A. L. Shaw, M. Endres, and S. Choi, PRX Quantum 4, 010311 (2023).
  9. J. Choi et al., Nature (London) 613, 468 (2023).
  10. W. W. Ho and S. Choi, Phys. Rev. Lett. 128, 060601 (2022).
  11. M. Ippoliti and W. W. Ho, Quantum 6, 886 (2022).
  12. P. W. Claeys and A. Lamacraft, Quantum 6, 738 (2022).
  13. M. McGinley and M. Fava, Phys. Rev. Lett. 131, 160601 (2023).
  14. T. Bhore, J.-Y. Desaules, and Z. Papić, Phys. Rev. B 108, 104317 (2023).
  15. M. Ippoliti and W. W. Ho, PRX Quantum 4, 030322 (2023).
  16. M. Lucas, L. Piroli, J. De Nardis, and A. De Luca, Phys. Rev. A 107, 032215 (2023).
  17. H. Shrotriya and W. W. Ho, SciPost Phys. 18, 107 (2025).
  18. C. Vairogs and B. Yan, arXiv:2402.10181.
  19. D. K. Mark, F. Surace, A. Elben, A. L. Shaw, J. Choi, G. Refael, M. Endres, and S. Choi, Phys. Rev. X 14, 041051 (2024).
  20. C. Liu, Q. C. Huang, and W. W. Ho, Phys. Rev. Lett. 133, 260401 (2024).
  21. R.-A. Chang, H. Shrotriya, W. W. Ho, and M. Ippoliti, arXiv:2408.15325.
  22. N. D. Varikuti and S. Bandyopadhyay, Quantum 8, 1456 (2024).
  23. F. Verstraete, M. Popp, and J. I. Cirac, Phys. Rev. Lett. 92, 027901 (2004).
  24. M. Popp, F. Verstraete, M. A. Martín-Delgado, and J. I. Cirac, Phys. Rev. A 71, 042306 (2005).
  25. S. Goldstein, J. L. Lebowitz, R. Tumulka, and N. Zanghì, J. Stat. Phys. 125, 1193 (2006).
  26. S. Goldstein, J. L. Lebowitz, C. Mastrodonato, R. Tumulka, and N. Zanghì, Commun. Math. Phys. 342, 965 (2015).
  27. P. S. Turner and D. Markham, Phys. Rev. Lett. 116, 200501 (2016).
  28. R. Mezher, J. Ghalbouni, J. Dgheim, and D. Markham, Phys. Rev. A 97, 022333 (2018).
  29. Y. Li, X. Chen, and M. P. A. Fisher, Phys. Rev. B 98, 205136 (2018).
  30. Y. Li, X. Chen, and M. P. A. Fisher, Phys. Rev. B 100, 134306 (2019).
  31. S. Choi, Y. Bao, X.-L. Qi, and E. Altman, Phys. Rev. Lett. 125, 030505 (2020).
  32. M. Ippoliti, M. J. Gullans, S. Gopalakrishnan, D. A. Huse, and V. Khemani, Phys. Rev. X 11, 011030 (2021).
  33. M. P. A. Fisher, V. Khemani, A. Nahum, and S. Vijay, Annu. Rev. Condens. Matter Phys. 14, 335 (2023).
  34. B. Skinner, J. Ruhman, and A. Nahum, Phys. Rev. X 9, 031009 (2019).
  35. L. Versini, K. A. El-Din, F. Mintert, and R. Mukherjee, arXiv:2305.01465.
  36. L. G. Valiant, SIAM J. Comput. 31, 1229 (2002).
  37. R. Jozsa and A. Miyake, Proc. R. Soc. A 464, 3089 (2008).
  38. B. M. Terhal and D. P. DiVincenzo, Phys. Rev. A 65, 032325 (2002).
  39. S. Bravyi, Quantum Inf. Comput. 5, 216 (2005).
  40. M. Ippoliti and V. Khemani, Phys. Rev. Lett. 126, 060501 (2021).
  41. S. J. Garratt and E. Altman, PRX Quantum 5, 030311 (2024).
  42. M. McGinley, PRX Quantum 5, 020347 (2024).
  43. S. B. Bravyi and A. Y. Kitaev, Ann. Phys. (Amsterdam) 298, 210 (2002).
  44. See Supplemental Material at http://link.aps.org/supplemental/10.1103/v8kp-39ry for a review of the covariance matrix formalism; a sampling procedure for the projected ensemble; a discussion of the singular values of subsystem covariance matrix; proofs of Theorems 1, 2, and 3; a more in-depth discussion of the Wasserstein-1 distance; details on the diffusive spreading of correlations; additional numerics; and a comparison between matchgate-, Clifford-, and dual-unitary-dominated circuits. Contains Refs. [8,10,12,15,39,45–71].
  45. A. Y. Kitaev, Phys. Usp. 44, 131 (2001).
  46. A. Altland and M. R. Zirnbauer, Phys. Rev. B 55, 1142 (1997).
  47. J. P. Dahlhaus, B. Béri, and C. W. J. Beenakker, Phys. Rev. B 82, 014536 (2010).
  48. G. W. Anderson, A. Guionnet, and O. Zeitouni, An Introduction to Random Matrices (Cambridge University Press, Cambridge, England, 2009).
  49. C. Villani, Optimal Transport: Old and New (Springer, New York, 2009).
  50. D. Jackson, Trans. Am. Math. Soc. 13, 491 (1912).
  51. N. Fournier and A. Guillin, Probab. Theory Relat. Fields 162, 707 (2015).
  52. F. Mezzadri, Not. Am. Math. Soc. 54, 592 (2007).
  53. E. Bianchi, L. Hackl, and M. Kieburg, Phys. Rev. B 103, L241118 (2021).
  54. N. Schuch and B. Bauer, Phys. Rev. B 100, 245121 (2019).
  55. C.-M. Jian, B. Bauer, A. Keselman, and A. W. W. Ludwig, Phys. Rev. B 106, 134206 (2022).
  56. C. W. J. Beenakker, Rev. Mod. Phys. 69, 731 (1997).
  57. I. C. Fulga, F. Hassler, A. R. Akhmerov, and C. W. J. Beenakker, Phys. Rev. B 83, 155429 (2011).
  58. A. Botero and B. Reznik, Phys. Lett. A 331, 39 (2004).
  59. J. Surace and L. Tagliacozzo, SciPost Phys. Lect. Notes 54 (2022).
  60. L. Kantorovich and G. S. Rubinstein, Vestn. Leningr. Univ. Fiz. Khim. 13, 52 (1958).
  61. R. M. Gray, Entropy and Information Theory (Springer, New York, 2011).
  62. N. Carothers, A short course on approximation theory, lecture notes for Bowling Green State University (2009), http://fourier.math.uoc.gr/ mk/approx1011/carothers.pdf (accessed Oct. 2024).
  63. P. Hayden, D. W. Leung, and A. Winter, Commun. Math. Phys. 265, 95 (2006).
  64. G. Roósz, R. Juhász, and F. Iglói, Phys. Rev. B 93, 134305 (2016).
  65. X.-H. Yu, Z. Gong, and J. I. Cirac, Phys. Rev. Res. 5, 013044 (2023).
  66. D. N. Page, Phys. Rev. Lett. 71, 1291 (1993).
  67. E. Bianchi and P. Donà, Phys. Rev. D 100, 105010 (2019).
  68. B. Dias and R. Koenig, Quantum 8, 1350 (2024).
  69. I. L. Markov and Y. Shi, SIAM J. Comput. 38, 963 (2008).
  70. M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information: 10th Anniversary Edition (Cambridge University Press, Cambridge, England, 2010).
  71. J. M. Renes, R. Blume-Kohout, A. J. Scott, and C. M. Caves, J. Math. Phys. (N.Y.) 45, 2171 (2004).
  72. C. W. Helstrom, J. Stat. Phys. 1, 231 (1969).
  73. T. M. Cover and J. A. Thomas, Elements of Information Theory (John Wiley & Sons, Ltd, New York, 2005).
  74. S. Kullback, Information Theory and Statistics (Wiley & Sons, Ltd., New York, 1959).
  75. L. Kantorovic, Dokl. Akad. Nauk SSSR 37, 227 (1942).
  76. S. S. Vallender, Theory Probab. Appl. 18, 784 (1974).
  77. J. Niles-Weed and Q. Berthet, Ann. Stat. 50, 1519 (2022).
  78. Z. Jiang, K. J. Sung, K. Kechedzhi, V. N. Smelyanskiy, and S. Boixo, Phys. Rev. Appl. 9, 044036 (2018).
  79. I. D. Kivlichan, J. McClean, N. Wiebe, C. Gidney, A. Aspuru-Guzik, Garnet Kin-Lic Chan, and R. Babbush, Phys. Rev. Lett. 120, 110501 (2018).
  80. http://www.csd3.cam.ac.uk
  81. http://www.dirac.ac.uk

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