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
  • Letter
  • Open Access

Functional interpolation expansion for nonequilibrium correlated impurities

Daniel Werner* and Enrico Arrigoni†

  • *Contact author: daniel.werner96@posteo.at
  • †Contact author: arrigoni@tugraz.at

Phys. Rev. Research 7, L022044 – Published 29 May, 2025

DOI: https://doi.org/10.1103/PhysRevResearch.7.L022044

Abstract

We present a functional interpolation approach within the auxiliary master equation framework to efficiently and accurately solve correlated impurity problems in nonequilibrium dynamical mean-field theory (DMFT). By leveraging a near-exact auxiliary bath representation, the method estimates corrections via interpolation over a few bath realizations, significantly reducing computational cost and increasing accuracy. We illustrate the approach on the Anderson impurity model and on the Hubbard model within DMFT, capturing equilibrium and long-lived photodoped states.

View figure in article

Physics Subject Headings (PhySH)

Article Text

Supplemental Material

References (70)

  1. S. Iwai, M. Ono, A. Maeda, H. Matsuzaki, H. Kishida, H. Okamoto, and Y. Tokura, Ultrafast optical switching to a metallic state by photoinduced Mott transition in a halogen-bridged nickel-chain compound, Phys. Rev. Lett. 91, 057401 (2003).
  2. A. Cavalleri, T. Dekorsy, H. H. W. Chong, J. C. Kieffer, and R. W. Schoenlein, Evidence for a structurally-driven insulator-to-metal transition in VO2: A view from the ultrafast timescale, Phys. Rev. B 70, 161102(R) (2004).
  3. L. Perfetti, P. A. Loukakos, M. Lisowski, U. Bovensiepen, H. Berger, S. Biermann, P. S. Cornaglia, A. Georges, and M. Wolf, Time evolution of the electronic structure of 1T−TaS2 through the insulator-metal transition, Phys. Rev. Lett. 97, 067402 (2006).
  4. D. Fausti, R. I. Tobey, N. Dean, S. Kaiser, A. Dienst, M. C. Hoffmann, S. Pyon, T. Takayama, H. Takagi, and A. Cavalleri, Light-induced superconductivity in a stripe-ordered cuprate, Science 331, 189 (2011).
  5. I. Žutić, J. Fabian, and S. D. Sarma, Spintronics: Fundamentals and applications, Rev. Mod. Phys. 76, 323 (2004).
  6. L. L. Bonilla and H. T. Grahn, Non-linear dynamics of semiconductor superlattices, Rep. Prog. Phys. 68, 577 (2005).
  7. M. Raizen, C. Salomon, and Q. Niu, New light on quantum transport, Phys. Today 50(7), 30 (1997).
  8. D. Jaksch, C. Bruder, J. I. Cirac, C. W. Gardiner, and P. Zoller, Cold bosonic atoms in optical lattices, Phys. Rev. Lett. 81, 3108 (1998).
  9. M. Greiner, O. Mandel, T. Esslinger, T. W. Hänsch, and I. Bloch, Quantum phase transition from a superfluid to a Mott insulator in a gas of ultracold atoms, Nature (London) 415, 39 (2002).
  10. M. Hartmann, F. Brandão, and M. Plenio, Quantum many-body phenomena in coupled cavity arrays, Laser Photonics Rev. 2, 527 (2008).
  11. A. Mitra, S. Takei, Y. B. Kim, and A. J. Millis, Nonequilibrium quantum criticality in open electronic systems, Phys. Rev. Lett. 97, 236808 (2006).
  12. M. A. Cazalilla, Effect of suddenly turning on interactions in the Luttinger model, Phys. Rev. Lett. 97, 156403 (2006).
  13. P. Calabrese and J. Cardy, Quantum quenches in extended systems, J. Stat. Mech. (2007) P06008.
  14. M. Rigol, V. Dunjko, and M. Olshanii, Thermalization and its mechanism for generic isolated quantum systems, Nature (London) 452, 854 (2008).
  15. A. J. Leggett, S. Chakravarty, A. T. Dorsey, M. P. A. Fisher, A. Garg, and W. Zwerger, Dynamics of the dissipative two-state system, Rev. Mod. Phys. 59, 1 (1987).
  16. A. Georges, G. Kotliar, W. Krauth, and M. J. Rozenberg, Dynamical mean-field theory of strongly correlated fermion systems and the limit of infinite dimensions, Rev. Mod. Phys. 68, 13 (1996).
  17. W. Metzner and D. Vollhardt, Correlated lattice fermions in d=∞ dimensions, Phys. Rev. Lett. 62, 324 (1989).
  18. P. Schmidt and H. Monien, Nonequilibrium dynamical mean-field theory of a strongly correlated system, arXiv:cond-mat/0202046.
  19. J. K. Freericks, V. M. Turkowski, and V. Zlatić, Nonequilibrium dynamical mean-field theory, Phys. Rev. Lett. 97, 266408 (2006).
  20. J. K. Freericks, Quenching Bloch oscillations in a strongly correlated material: Nonequilibrium dynamical mean-field theory, Phys. Rev. B 77, 075109 (2008).
  21. A. V. Joura, J. K. Freericks, and T. Pruschke, Steady-state nonequilibrium density of states of driven strongly correlated lattice models in infinite dimensions, Phys. Rev. Lett. 101, 196401 (2008).
  22. M. Eckstein, M. Kollar, and P. Werner, Thermalization after an interaction quench in the Hubbard model, Phys. Rev. Lett. 103, 056403 (2009).
  23. S. Okamoto, Nonequilibrium transport and optical properties of model metal-Mott-insulator-metal heterostructures, Phys. Rev. B 76, 035105 (2007).
  24. H. Aoki, N. Tsuji, M. Eckstein, M. Kollar, T. Oka, and P. Werner, Nonequilibrium dynamical mean-field theory and its applications, Rev. Mod. Phys. 86, 779 (2014).
  25. E. Gull, A. J. Millis, A. I. Lichtenstein, A. N. Rubtsov, M. Troyer, and P. Werner, Continuous-time Monte Carlo methods for quantum impurity models, Rev. Mod. Phys. 83, 349 (2011).
  26. P. Werner, T. Oka, and A. J. Millis, Diagrammatic Monte Carlo simulation of nonequilibrium systems, Phys. Rev. B 79, 035320 (2009).
  27. S. R. White and A. E. Feiguin, Real-time evolution using the density matrix renormalization group, Phys. Rev. Lett. 93, 076401 (2004).
  28. A. J. Daley, C. Kollath, U. Schollwöck, and G. Vidal, Time-dependent density-matrix renormalization-group using adaptive effective Hilbert spaces, J. Stat. Mech. (2004) P04005.
  29. A. Erpenbeck, E. Gull, and G. Cohen, Quantum Monte Carlo method in the steady state, Phys. Rev. Lett. 130, 186301 (2023).
  30. P. Mehta and N. Andrei, Nonequilibrium transport in quantum impurity models: The Bethe ansatz for open systems, Phys. Rev. Lett. 96, 216802 (2006).
  31. F. B. Anders, Steady-state currents through nanodevices: A scattering-states numerical renormalization-group approach to open quantum systems, Phys. Rev. Lett. 101, 066804 (2008).
  32. E. Arrigoni, M. Knap, and W. von der Linden, Nonequilibrium dynamical mean field theory: An auxiliary quantum master equation approach, Phys. Rev. Lett. 110, 086403 (2013).
  33. A. Dorda, M. Nuss, W. von der Linden, and E. Arrigoni, Auxiliary master equation approach to non–equilibrium correlated impurities, Phys. Rev. B 89, 165105 (2014).
  34. N. Dasari, J. Li, P. Werner, and M. Eckstein, Photoinduced strange metal with electron and hole quasiparticles, Phys. Rev. B 103, L201116 (2021).
  35. A. Rosch, D. Rasch, B. Binz, and M. Vojta, Metastable superfluidity of repulsive fermionic atoms in optical lattices, Phys. Rev. Lett. 101, 265301 (2008).
  36. R. Sensarma, D. Pekker, E. Altman, E. Demler, N. Strohmaier, D. Greif, R. Jördens, L. Tarruell, H. Moritz, and T. Esslinger, Lifetime of double occupancies in the Fermi-Hubbard model, Phys. Rev. B 82, 224302 (2010).
  37. Y. Murakami, S. Takayoshi, T. Kaneko, Z. Sun, D. Golez, A. J. Millis, and P. Werner, Exploring nonequilibrium phases of photo-doped Mott insulators with generalized Gibbs ensembles, Commun. Phys. 5, 23 (2022).
  38. Z. Lenarčič and P. Prelovsek, Ultrafast charge recombination in a photoexcited Mott-Hubbard insulator, Phys. Rev. Lett. 111, 016401 (2013).
  39. F. Künzel, A. Erpenbeck, D. Werner, E. Arrigoni, E. Gull, G. Cohen, and M. Eckstein, Numerically exact simulation of photodoped Mott insulators, Phys. Rev. Lett. 132, 176501 (2024).
  40. A. Picano, J. Li, and M. Eckstein, Quantum Boltzmann equation for strongly correlated electrons, Phys. Rev. B 104, 085108 (2021).
  41. A. Dorda, M. Sorantin, W. von der Linden, and E. Arrigoni, Optimized auxiliary representation of non-Markovian impurity problems by a Lindblad equation, New J. Phys. 19, 063005 (2017).
  42. F. Chen, G. Cohen, and M. Galperin, Auxiliary master equation for nonequilibrium dual-fermion approach, Phys. Rev. Lett. 122, 186803 (2019).
  43. H. Haug and A.-P. Jauho, Quantum Kinetics in Transport and Optics of Semiconductors (Springer, Heidelberg, 1998).
  44. J. Schwinger, Brownian motion of a quantum oscillator, J. Math. Phys. 2, 407 (1961).
  45. L. V. Keldysh, Diagram technique for nonequilibrium processes, Sov. Phys. JETP 20, 1018 (1965).
  46. L. P. Kadanoff and G. Baym, Quantum Statistical Mechanics: Green's Function Methods in Equilibrium and Nonequilibrium Problems (Addison-Wesley, Redwood City, CA, 1962).
  47. J. Rammer and H. Smith, Quantum field-theoretical methods in transport theory of metals, Rev. Mod. Phys. 58, 323 (1986).
  48. Here and in the following, we use underscore X̲ to denote this Keldysh structure containing the retarded XR, Keldysh XK, and advanced XA components [43, 47]. X can be any two-point function, such as Δ, G, or Σ, or their differences, such as the quantities ɛ or μ below. In addition, we shall omit the argument ω unless neccessary.
  49. D. Werner, J. Lotze, and E. Arrigoni, Configuration interaction based nonequilibrium steady state impurity solver, Phys. Rev. B 107, 075119 (2023).
  50. A. Dorda, M. Ganahl, H. G. Evertz, W. von der Linden, and E. Arrigoni, Auxiliary master equation approach within matrix product states: Spectral properties of the nonequilibrium Anderson impurity model, Phys. Rev. B 92, 125145 (2015).
  51. M. E. Sorantin, D. M. Fugger, A. Dorda, W. von der Linden, and E. Arrigoni, Auxiliary master equation approach within stochastic wave functions: Application to the interacting resonant level model, Phys. Rev. E 99, 043303 (2019).
  52. Combined by a configuraion interaction (CI) approach [49].
  53. H. Keiter and J. C. Kimball, Perturbation technique for the anderson hamiltonian, Phys. Rev. Lett. 25, 672 (1970).
  54. P. Coleman, New approach to the mixed-valence problem, Phys. Rev. B 29, 3035 (1984).
  55. M. Eckstein and P. Werner, Nonequilibrium dynamical mean-field calculations based on the noncrossing approximation and its generalizations, Phys. Rev. B 82, 115115 (2010).
  56. G. Cohen, E. Gull, D. R. Reichman, and A. J. Millis, Taming the dynamical sign problem in real-time evolution of quantum many-body problems, Phys. Rev. Lett. 115, 266802 (2015).
  57. Y. Núñez Fernández, M. Jeannin, P. T. Dumitrescu, T. Kloss, J. Kaye, O. Parcollet, and X. Waintal, Learning Feynman diagrams with tensor trains, Phys. Rev. X 12, 041018 (2022).
  58. M. Eckstein, Solving quantum impurity models in the non–equilibrium steady state with tensor trains, arXiv:2410.19707.
  59. In Ref. [42] the auxiliary system is referred to as a reference system.
  60. The linear correction can rarely produce nonphysical self-energies. This means that one of the two “physicality” requirements, namely, ImΣR<0 or the distribution function between 0 and 1, is not fulfilled. In the first case, the causality requirement is included as an additional constraint when minimizing |μ̲|2. If the distribution function becomes unphysical, it is reset to 1 or 0 wherever it exceeds those bounds, and the Keldysh part of the self-energy function is then recalculated from this updated physical distribution function.
  61. k can, in principle, change as a function of n.
  62. The condition number is a measure of how ill-conditioned the matrix inversion is; see, e.g., https://numpy.org/doc/2.1/reference/generated/numpy.linalg.cond.html.
  63. We do that by adding a random function (frand(ω)) to the physical hybridization function, ImΔdesR/Km=ImΔphysR/K+frandR/K(ω)∀m>1,where f is generated by choosing random values for the vertical axis between –0.3 and 0.3, at five equidistant points, between −ωmax and +ωmax, and interpolating between them. Notice that Δ̲desm may become unphysical, for example, noncausal. This is, however, not an issue, as the fit ensures that Δ̲auxm remains physical.
  64. In the sense that σtyp,Σ, i.e., the maximum over ω of the standard deviation of Σ̲, is less than 0.1 times the average over ω of Σ̲.
  65. By “plain” we mean without the FI improvement, corresponding to NT=1.
  66. See Supplemental Material at http://link.aps.org/supplemental/10.1103/PhysRevResearch.7.L022044 for details about our benchmark to determine the optimal values of the hyperparameters k and NT.
  67. The edges of the DOS are smoothed with a “fictitious” temperature 0.5Γ.
  68. The slight increases around ω=0 are because the FI scheme yields a noncausal self-energy, which is fixed by minimally adjusting the coefficients α to fulfill the constraint of causality; see Ref. [60].
  69. Consider that the self-energy assumes large values, leading to large absolute differences.
  70. D. Werner and E. Arrigoni, TU Graz repository, V1 https://repository.tugraz.at/records/fj52m-f8t04 (2025).

Outline

Information

Sign In to Your Journals Account

Filter

Filter

Article Lookup

Enter a citation