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

Tensor-Network Framework for Lindbladian Spectra and Steady States

Philipp Westhoff1,*, Mattia Moroder2,3,†, Ulrich Schollwöck1,‡, and Sebastian Paeckel1,§

  • 1Department of Physics, Arnold Sommerfeld Center for Theoretical Physics (ASC), Munich Center for Quantum Science and Technology (MCQST), Ludwig-Maximilians-Universität München, 80333 München, Germany
  • 2School of Physics, Trinity College Dublin, College Green, Dublin 2, D02K8N4, Ireland
  • 3Trinity Quantum Alliance, Unit 16, Trinity Technology and Enterprise Centre, Pearse Street, Dublin 2, D02YN67, Ireland

  • *Contact author: p.westhoff@physik.uni-muenchen.de
  • †Contact author: moroderm@tcd.ie
  • ‡Contact author: schollwoeck@lmu.de
  • §Contact author: sebastian.paeckel@physik.uni-muenchen.de

Phys. Rev. X 16, 041020 – Published 21 October, 2026

DOI: https://doi.org/10.1103/7kd1-kxxz

Abstract

Quantum systems coupled to (non-) Markovian environments attract increasing attention due to their peculiar physical properties. Exciting prospects such as unconventional nonequilibrium phases beyond the Mermin-Wagner limit or dissipative state preparation demand a systematic analysis of quantum many-body phases out of equilibrium. Akin to the equilibrium case, this requires the computation of the low-lying eigenstates of Lindbladians, a problem challenging conventional approaches for simulating quantum many-body systems. Here, we undertake a first step to overcome this limitation and introduce a tensor-network-based framework to systematically compute not only steady states, but also low-lying excited states for large, driven quantum many-body systems. Our framework is based on recent advances utilizing complex-time Krylov spaces, and we leverage these ideas to create a toolbox tailored to solve the challenging non-Hermitian eigenvalue problem ubiquitous in open quantum systems. With an example of the interacting Bose-Hubbard model driven by dissipation-assisted hopping, we demonstrate the high efficiency and accuracy. From a reliable finite-size-scaling analysis of the spectral gap, we find strong evidence for nonlinear hydrodynamic behavior consistent with Kardar-Parisi-Zhang-type superdiffusive relaxation and establish the existence of exponentially accelerated, anomalous relaxation. This method unlocks the capability of spectral analysis of generic open quantum many-body systems suitable also for non-Markovian environments.

View figure in article

Physics Subject Headings (PhySH)

Popular Summary

Article Text

References (98)

  1. E. Altman et al., Quantum simulators: Architectures and opportunities, PRX Quantum 2, 017003 (2021).
  2. F. Gyger, M. Ammenwerth, R. Tao, H. Timme, S. Snigirev, I. Bloch, and J. Zeiher, Continuous operation of large-scale atom arrays in optical lattices, Phys. Rev. Res. 6, 033104 (2024).
  3. L. S. Madsen, F. Laudenbach, M. F. Askarani, F. Rortais, T. Vincent, J. F. F. Bulmer, F. M. Miatto, L. Neuhaus, L. G. Helt, M. J. Collins, A. E. Lita, T. Gerrits, S. W. Nam, V. D. Vaidya, M. Menotti, I. Dhand, Z. Vernon, N. Quesada, and J. Lavoie, Quantum computational advantage with a programmable photonic processor, Nature (London) 606, 75 (2022).
  4. A. et al., Quantum error correction below the surface code threshold, Nature (London) 638, 920 (2025).
  5. D. G. Baranov, M. Wersäll, J. Cuadra, T. J. Antosiewicz, and T. Shegai, Novel nanostructures and materials for strong light–matter interactions, ACS Photonics 5, 24 (2018).
  6. W. Qin, A. F. Kockum, C. S. Muñoz, A. Miranowicz, and F. Nori, Quantum amplification and simulation of strong and ultrastrong coupling of light and matter, Phys. Rep. 1078, 1 (2024).
  7. J. Zribi, L. Khalil, B. Zheng, J. Avila, D. Pierucci, T. Brulé, J. Chaste, E. Lhuillier, M. C. Asensio, A. Pan, and A. Ouerghi, Strong interlayer hybridization in the aligned SnS2/WSe2 hetero-bilayer structure, npj 2D Mater. Appl. 3, 27 (2019).
  8. S. Duan, Y. Cheng, W. Xia, Y. Yang, C. Xu, F. Qi, C. Huang, T. Tang, Y. Guo, W. Luo, D. Qian, D. Xiang, J. Zhang, and W. Zhang, Optical manipulation of electronic dimensionality in a quantum material, Nature (London) 595, 239 (2021).
  9. T. Prosen, Third quantization: A general method to solve master equations for quadratic open fermi systems, New J. Phys. 10, 043026 (2008).
  10. G. T. Landi, D. Poletti, and G. Schaller, Nonequilibrium boundary-driven quantum systems: Models, methods, and properties, Rev. Mod. Phys. 94, 045006 (2022).
  11. F. Verstraete, J. J. García-Ripoll, and J. I. Cirac, Matrix product density operators: Simulation of finite-temperature and dissipative systems, Phys. Rev. Lett. 93, 207204 (2004).
  12. T. Prosen and M. Žnidarič, Matrix product simulations of non-equilibrium steady states of quantum spin chains, J. Stat. Mech. (2009) P02035.
  13. J. Cui, J. I. Cirac, and M. C. Bañuls, Variational matrix product operators for the steady state of dissipative quantum systems, Phys. Rev. Lett. 114, 220601 (2015).
  14. E. Mascarenhas, H. Flayac, and V. Savona, Matrix-product-operator approach to the nonequilibrium steady state of driven-dissipative quantum arrays, Phys. Rev. A 92, 022116 (2015).
  15. A. H. Werner, D. Jaschke, P. Silvi, M. Kliesch, T. Calarco, J. Eisert, and S. Montangero, Positive tensor network approach for simulating open quantum many-body systems, Phys. Rev. Lett. 116, 237201 (2016).
  16. A. Kshetrimayum, H. Weimer, and R. Orús, A simple tensor network algorithm for two-dimensional steady states, Nat. Commun. 8, 1291 (2017).
  17. A. A. Gangat, T. I, and Y.-J. Kao, Steady states of infinite-size dissipative quantum chains via imaginary time evolution, Phys. Rev. Lett. 119, 010501 (2017).
  18. A. D. Somoza, O. Marty, J. Lim, S. F. Huelga, and M. B. Plenio, Dissipation-assisted matrix product factorization, Phys. Rev. Lett. 123, 100502 (2019).
  19. S. Wolff, A. Sheikhan, and C. Kollath, Numerical evaluation of two-time correlation functions in open quantum systems with matrix product state methods: A comparison, SciPost Phys. Core 3, 010 (2020).
  20. C. Guo, Density matrix renormalization group algorithm for mixed quantum states, Phys. Rev. B 105, 195152 (2022).
  21. H. Pichler, J. Schachenmayer, A. J. Daley, and P. Zoller, Heating dynamics of bosonic atoms in a noisy optical lattice, Phys. Rev. A 87, 033606 (2013).
  22. S. Sarkar, S. Langer, J. Schachenmayer, and A. J. Daley, Light scattering and dissipative dynamics of many fermionic atoms in an optical lattice, Phys. Rev. A 90, 023618 (2014).
  23. M. Moroder, M. Grundner, F. Damanet, U. Schollwöck, S. Mardazad, S. Flannigan, T. Köhler, and S. Paeckel, Stable bipolarons in open quantum systems, Phys. Rev. B 107, 214310 (2023).
  24. Z. Xie, M. Moroder, U. Schollwöck, and S. Paeckel, Photo-induced dynamics with continuous and discrete quantum baths, J. Chem. Phys. 161, 074109 (2024).
  25. D. A. Hryniuk and M. H. Szymańska, Tensor-network-based variational Monte Carlo approach to the non-equilibrium steady state of open quantum systems, Quantum 8, 1475 (2024).
  26. M. J. Hartmann and G. Carleo, Neural-network approach to dissipative quantum many-body dynamics, Phys. Rev. Lett. 122, 250502 (2019).
  27. F. Vicentini, A. Biella, N. Regnault, and C. Ciuti, Variational neural-network ansatz for steady states in open quantum systems, Phys. Rev. Lett. 122, 250503 (2019).
  28. J. Mellak, E. Arrigoni, and W. von der Linden, Deep neural networks as variational solutions for correlated open quantum systems, Commun. Phys. 7, 268 (2024).
  29. R. Cleve and C. Wang, Efficient quantum algorithms for simulating Lindblad evolution, arXiv:1612.09512.
  30. N. Yoshioka, Y. O. Nakagawa, K. Mitarai, and K. Fujii, Variational quantum algorithm for nonequilibrium steady states, Phys. Rev. Res. 2, 043289 (2020).
  31. H.-Y. Liu, T.-P. Sun, Y.-C. Wu, and G.-P. Guo, Variational quantum algorithms for the steady states of open quantum systems, Chin. Phys. Lett. 38, 080301 (2021).
  32. Z. Ding, X. Li, and L. Lin, Simulating open quantum systems using Hamiltonian simulations, PRX Quantum 5, 020332 (2024).
  33. S. Santos, X. Song, and V. Savona, Low-rank variational quantum algorithm for the dynamics of open quantum systems, Quantum 9, 1620 (2025).
  34. X.-D. Xie, Z.-Y. Xue, and D.-B. Zhang, Variational quantum algorithm for solving the Liouvillian gap, Chin. Phys. Lett. 42, 080605 (2025).
  35. J. Tosca, F. Carnazza, L. Giacomelli, and C. Ciuti, Efficient variational dynamics of open quantum bosonic systems via automatic differentiation, arXiv:2507.14076 [Phys. Rev. X (to be published)].
  36. F. Carollo, A. Lasanta, and I. Lesanovsky, Exponentially accelerated approach to stationarity in Markovian open quantum systems through the Mpemba effect, Phys. Rev. Lett. 127, 060401 (2021).
  37. P. Westhoff, S. Paeckel, and M. Moroder, Fast and direct preparation of a genuine lattice bec via the quantum mpemba effect, Phys. Rev. A 112, L061304 (2025).
  38. F. Minganti, A. Biella, N. Bartolo, and C. Ciuti, Spectral theory of Liouvillians for dissipative phase transitions, Phys. Rev. A 98, 042118 (2018).
  39. F. Minganti, V. Savona, and A. Biella, Dissipative phase transitions in n-photon driven quantum nonlinear resonators, Quantum 7, 1170 (2023).
  40. M. Moroder, O. Culhane, K. Zawadzki, and J. Goold, Thermodynamics of the quantum Mpemba effect, Phys. Rev. Lett. 133, 140404 (2024).
  41. F. Song, S. Yao, and Z. Wang, Non-Hermitian skin effect and chiral damping in open quantum systems, Phys. Rev. Lett. 123, 170401 (2019).
  42. S. Lieu, M. McGinley, and N. R. Cooper, Tenfold way for quadratic Lindbladians, Phys. Rev. Lett. 124, 040401 (2020).
  43. T. Yoshida, K. Kudo, H. Katsura, and Y. Hatsugai, Fate of fractional quantum Hall states in open quantum systems: Characterization of correlated topological states for the full liouvillian, Phys. Rev. Res. 2, 033428 (2020).
  44. K. Macieszczak, M. Guţă, I. Lesanovsky, and J. P. Garrahan, Towards a theory of metastability in open quantum dynamics, Phys. Rev. Lett. 116, 240404 (2016).
  45. A. Nagy, Quantum Monte Carlo approach to the non-equilibrium steady state of open quantum systems, Ph.D. thesis, École Polytechnique Fédérale de Lausanne (EPFL). Lausanne, 2020.
  46. L. Xu, A quantum kinetic Monte Carlo method for Lindblad equation, arXiv:2306.05102.
  47. G. Almeida, P. Ribeiro, M. Haque, and L. Sá, Universality, robustness, and limits of the eigenstate thermalization hypothesis in open quantum systems, Phys. Rev. E 113, L012101 (2026).
  48. J. Richter, L. Sá, and M. Haque, Integrability versus chaos in the steady state of many-body open quantum systems, Phys. Rev. E 111, 064103 (2025).
  49. S. R. White, Density matrix formulation for quantum renormalization groups, Phys. Rev. Lett. 69, 2863 (1992).
  50. S. R. White, Density-matrix algorithms for quantum renormalization groups, Phys. Rev. B 48, 10345 (1993).
  51. U. Schollwöck, The density-matrix renormalization group in the age of matrix product states, Ann. Phys. (Amsterdam) 326, 96 (2011).
  52. G. K.-L. Chan and T. Van Voorhis, Density-matrix renormalization-group algorithms with nonorthogonal orbitals and non-Hermitian operators, and applications to polyenes, J. Chem. Phys. 122, 204101 (2005).
  53. L. Vanderstraeten, J. Haegeman, P. Corboz, and F. Verstraete, Gradient methods for variational optimization of projected entangled-pair states, Phys. Rev. B 94, 155123 (2016).
  54. P. Zhong, W. Pan, H. Lin, X. Wang, and S. Hu, Density matrix renormalization group algorithm for non-Hermitian systems, Phys. Rev. Lett. 135, 106502 (2025).
  55. Y. Zhan, Z. Ding, J. Huhn, J. Gray, J. Preskill, G. K.-L. Chan, and L. Lin, Rapid quantum ground state preparation via dissipative dynamics, Phys. Rev. X 16, 011004 (2026).
  56. F. Minganti and D. Huybrechts, Arnoldi-Lindblad time evolution: Faster-than-the-clock algorithm for the spectrum of time-independent and Floquet open quantum systems, Quantum 6, 649 (2022).
  57. M. Grundner, P. Westhoff, F. B. Kugler, O. Parcollet, and U. Schollwöck, Complex time evolution in tensor networks and time-dependent Green’s functions, Phys. Rev. B 109, 155124 (2024).
  58. S. Paeckel, Spectral Decomposition and high-accuracy Green’s Functions: Overcoming the Nyquist-Shannon limit via complex-time Krylov expansion, Phys. Rev. Lett. 136, 160401 (2026).
  59. G. Preisser, D. Wellnitz, T. Botzung, and J. Schachenmayer, Comparing bipartite entropy growth in open-system matrix-product simulation methods, Phys. Rev. A 108, 012616 (2023).
  60. F. Caceffo and V. Alba, Fate of entanglement in quadratic Markovian dissipative systems, Phys. Rev. A 113, 042436 (2026).
  61. G. Lindblad, On the generators of quantum dynamical semigroups, Commun. Math. Phys. 48, 119 (1976).
  62. H. P. Casagrande, D. Poletti, and G. T. Landi, Analysis of a density matrix renormalization group approach for transport in open quantum systems, Comput. Phys. Commun. 267, 108060 (2021).
  63. In this work, we always refer to the bond dimension of a site tensor as the largest dimension of its set of virtual legs.

  64. J. Haegeman, J. I. Cirac, T. J. Osborne, I. Pižorn, H. Verschelde, and F. Verstraete, Time-dependent variational principle for quantum lattices, Phys. Rev. Lett. 107, 070601 (2011).
  65. S. Paeckel, T. Köhler, A. Swoboda, S. R. Manmana, U. Schollwöck, and C. Hubig, Time-evolution methods for matrix-product states, Ann. Phys. (Amsterdam) 411, 167998 (2019).
  66. M. Yang and S. R. White, Time-dependent variational principle with ancillary Krylov subspace, Phys. Rev. B 102 (2020).
  67. M. Grundner, T. Blatz, J. Sous, U. Schollwöck, and S. Paeckel, arXiv:2308.13427.
  68. M. Moroder, Simulating quantum dissipative and vibrational environments, Ph.D. thesis, LMU München, 2024.
  69. Care must be taken in the presence of conserved quantities, under which the identity decomposes into sub-blocks. We address this issue in Appendix pp2.

  70. E. M. Stoudenmire and S. R. White, Real-space parallel density matrix renormalization group, Phys. Rev. B 87, 155137 (2013).
  71. B. Kraus, H. P. Büchler, S. Diehl, A. Kantian, A. Micheli, and P. Zoller, Preparation of entangled states by quantum markov processes, Phys. Rev. A 78, 042307 (2008).
  72. S. Diehl, A. Micheli, A. Kantian, B. Kraus, H. P. Büchler, and P. Zoller, Quantum states and phases in driven open quantum systems with cold atoms, Nat. Phys. 4, 878 (2008).
  73. Y. Tanimura, Numerically “exact” approach to open quantum dynamics: The hierarchical equations of motion (heom), J. Chem. Phys. 153, 020901 (2020).
  74. B. Debecker, J. Martin, and F. m. c. Damanet, Spectral theory of non-Markovian dissipative phase transitions, Phys. Rev. A 110, 042201 (2024).
  75. A. J. Daley, Quantum trajectories and open many-body quantum systems, Adv. Phys. 63, 77 (2014).
  76. M. Žnidarič, Relaxation times of dissipative many-body quantum systems, Phys. Rev. E 92, 042143 (2015).
  77. R. A. Hart, P. M. Duarte, T.-L. Yang, X. Liu, T. Paiva, E. Khatami, R. T. Scalettar, N. Trivedi, D. A. Huse, and R. G. Hulet, Observation of antiferromagnetic correlations in the Hubbard model with ultracold atoms, Nature (London) 519, 211 (2015).
  78. T. Mori and T. Shirai, Resolving a discrepancy between Liouvillian gap and relaxation time in boundary-dissipated quantum many-body systems, Phys. Rev. Lett. 125, 230604 (2020).
  79. Z. Lu and O. Raz, Nonequilibrium thermodynamics of the Markovian Mpemba effect and its inverse, Proc. Natl. Acad. Sci. U.S.A. 114, 5083 (2017).
  80. F. Ares, S. Murciano, and P. Calabrese, Entanglement asymmetry as a probe of symmetry breaking, Nat. Commun. 14, 2036 (2023).
  81. N. Beato and G. Teza, Relaxation control of open quantum systems, Phys. Rev. Lett. 136, 070401 (2026).
  82. A. Summer, M. Moroder, L. P. Bettmann, X. Turkeshi, I. Marvian, and J. Goold, Resource-theoretical unification of Mpemba effects: Classical and quantum, Phys. Rev. X 16, 011065 (2026).
  83. M. Schlosshauer, Quantum decoherence, Phys. Rep. 831, 1 (2019).
  84. A. Paulraj, R. Roy, and T. Kailath, A subspace rotation approach to signal parameter estimation, Proc. IEEE 74, 1044 (1986).
  85. W. Li, W. Liao, and A. Fannjiang, Super-resolution limit of the esprit algorithm, IEEE Trans. Inf. Theory 66, 4593 (2020).
  86. G. Park, Z. Huang, Y. Zhu, C. Yang, G. K.-L. Chan, and L. Lin, Quasi-Lindblad pseudomode theory for open quantum systems, Phys. Rev. B 110, 195148 (2024).
  87. Z. Huang, G. Park, G. K.-L. Chan, and L. Lin, Coupled Lindblad pseudomode theory for simulating open quantum systems, Phys. Rev. Lett. 136, 090403 (2026).
  88. N. Hatano, Exceptional points of the Lindblad operator of a two-level system, Mol. Phys. 117, 2121 (2019).
  89. F. Minganti, A. Miranowicz, R. W. Chhajlany, and F. Nori, Quantum exceptional points of non-Hermitian Hamiltonians and Liouvillians: The effects of quantum jumps, Phys. Rev. A 100, 062131 (2019).
  90. C. Booker, B. Buča, and D. Jaksch, Non-stationarity and dissipative time crystals: Spectral properties and finite-size effects, New J. Phys. 22, 085007 (2020).
  91. F. Carollo, I. Lesanovsky, M. Antezza, and G. De Chiara, Quantum thermodynamics of boundary time-crystals, Quantum Sci. Technol. 9, 035024 (2024).
  92. B. Debecker, J. Martin, and F. Damanet, Controlling matter phases beyond markov, Phys. Rev. Lett. 133, 140403 (2024).
  93. C. Hubig, F. Lachenmaier, N.-O. Linden, T. Reinhard, L. Stenzel, A. Swoboda, M. Grundner, S. Mardazad, S. Paeckel, and F. Pauw, The syten toolkit.
  94. C. Hubig, Symmetry-Protected Tensor Networks, Ph.D. thesis, LMU München, 2017.
  95. Philipp Westhoff, Clik-mps data, Version 1, https://github.com/Philipppppppppppp/clik-mps-data (2026).
  96. Philipp Westhoff, Clik-mps code, Version 1, https://github.com/Philipppppppppppp/clik-mps (2026).
  97. C. A. Beattie, M. Embree, and D. C. Sorensen, Convergence of polynomial restart Krylov methods for eigenvalue computations, SIAM Rev. 47, 492 (2005).
  98. C. Hubig, I. P. McCulloch, U. Schollwöck, and F. A. Wolf, Strictly single-site DMRG algorithm with subspace expansion, Phys. Rev. B 91, 155115 (2015).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation