- Open Access
Probing hydrodynamic crossovers with dissipation-assisted operator evolution
Phys. Rev. B 113, 165150 – Published 27 April, 2026
DOI: https://doi.org/10.1103/gz9n-v8ty
Abstract
Using artificial dissipation to tame entanglement growth, we chart the emergence of diffusion in a generic interacting lattice model for varying U(1) charge densities. We follow the crossover from ballistic to diffusive transport above a scale set by the scattering length, finding the intuitive result that the diffusion constant scales as at low densities . Our numerical approach generalizes the Dissipation-Assisted Operator Evolution algorithm: in the spirit of the Bogoliubov-Born-Green-Kirkwood-Yvon hierarchy, we effectively approximate nonlocal operators by their ensemble averages, rather than discarding them entirely. This greatly reduces the operator entanglement entropy, while still giving accurate predictions for diffusion constants across all density scales. We further construct a minimal model for the transport crossover, yielding charge correlation functions which agree well with our numerical data. Our results clarify the dominant contributions to hydrodynamic correlation functions of conserved densities, and serve as a guide for generalizations to low-temperature transport.
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References (27)
- D. Forster, Hydrodynamic Fluctuations, Broken Symmetry, and Correlation Functions (CRC Press, Boca Raton, FL, 2019),
- H. Liu and P. Glorioso, Lectures on non-equilibrium effective field theories and fluctuating hydrodynamics, in Proceedings of Theoretical Advanced Study Institute Summer School 2017 “Physics at the Fundamental Frontier” (TASI2017) (SISSA Medialab, Trieste, 2018), Vol. 305, p. 008.
- S. Mukerjee, V. Oganesyan, and D. Huse, Statistical theory of transport by strongly interacting lattice fermions, Phys. Rev. B 73, 035113 (2006).
- S. Gopalakrishnan and R. Vasseur, Kinetic theory of spin diffusion and superdiffusion in XXZ spin chains, Phys. Rev. Lett. 122, 127202 (2019).
- J. De Nardis, D. Bernard, and B. Doyon, Diffusion in generalized hydrodynamics and quasiparticle scattering, SciPost Phys. 6, 049 (2019).
- C. Karrasch, D. M. Kennes, and J. E. Moore, Transport properties of the one-dimensional Hubbard model at finite temperature, Phys. Rev. B 90, 155104 (2014).
- T. Rakovszky, C. W. von Keyserlingk, and F. Pollmann, Dissipation-assisted operator evolution method for capturing hydrodynamic transport, Phys. Rev. B 105, 075131 (2022).
- C. von Keyserlingk, F. Pollmann, and T. Rakovszky, Operator backflow and the classical simulation of quantum transport, Phys. Rev. B 105, 245101 (2022).
- J. Lloyd, T. Rakovszky, F. Pollmann, and C. von Keyserlingk, Ballistic to diffusive crossover in a weakly interacting Fermi gas, Phys. Rev. B 109, 205108 (2024).
- E.-J. Kuo, B. Ware, P. Lunts, M. Hafezi, and C. D. White, Energy diffusion in weakly interacting chains with fermionic dissipation assisted operator evolution, Phys. Rev. B 110, 075149 (2024).
- C. D. White, M. Zaletel, R. S. K. Mong, and G. Refael, Quantum dynamics of thermalizing systems, Phys. Rev. B 97, 035127 (2018).
- T. K. Kvorning, L. Herviou, and J. H. Bardarson, Time-evolution of local information: Thermalization dynamics of local observables, SciPost Phys. 13, 080 (2022).
- C. Artiaco, C. Fleckenstein, D. Aceituno Chávez, T. K. Kvorning, and J. H. Bardarson, Efficient large-scale many-body quantum dynamics via local-information time evolution, PRX Quantum 5, 020352 (2024).
- S. Yi-Thomas, B. Ware, J. D. Sau, and C. D. White, Comparing numerical methods for hydrodynamics in a one-dimensional lattice model, Phys. Rev. B 110, 134308 (2024).
- M. Frías-Pérez, L. Tagliacozzo, and M. C. Bañuls, Converting long-range entanglement into mixture: Tensor-network approach to local equilibration, Phys. Rev. Lett. 132, 100402 (2024).
- D. E. Parker, X. Cao, A. Avdoshkin, T. Scaffidi, and E. Altman, A universal operator growth hypothesis, Phys. Rev. X 9, 041017 (2019).
- N. N. Bogolyubov, Lectures on Quantum Statistics (CRC Press, Boca Raton, FL, 1970).
- M. Kardar, Statistical Physics of Particles (Cambridge University Press, Cambridge, UK, 2007).
- A. Nahum, S. Vijay, and J. Haah, Operator spreading in random unitary circuits, Phys. Rev. X 8, 021014 (2018).
- V. Khemani, A. Vishwanath, and D. A. Huse, Operator spreading and the emergence of dissipative hydrodynamics under unitary evolution with conservation laws, Phys. Rev. X 8, 031057 (2018).
- C. W. von Keyserlingk, T. Rakovszky, F. Pollmann, and S. L. Sondhi, Operator hydrodynamics, OTOCs, and entanglement growth in systems without conservation laws, Phys. Rev. X 8, 021013 (2018).
- T. Rakovszky, F. Pollmann, and C. W. von Keyserlingk, Diffusive hydrodynamics of out-of-time-ordered correlators with charge conservation, Phys. Rev. X 8, 031058 (2018).
- R. Steinigeweg, F. Heidrich-Meisner, J. Gemmer, K. Michielsen, and H. De Raedt, Scaling of diffusion constants in the spin- XX ladder, Phys. Rev. B 90, 094417 (2014).
- C. Karrasch, D. M. Kennes, and F. Heidrich-Meisner, Spin and thermal conductivity of quantum spin chains and ladders, Phys. Rev. B 91, 115130 (2015).
- B. Kloss, Y. B. Lev, and D. Reichman, Time-dependent variational principle in matrix-product state manifolds: Pitfalls and potential, Phys. Rev. B 97, 024307 (2018).
- M. Žnidarič, Coexistence of diffusive and ballistic transport in a simple spin ladder, Phys. Rev. Lett. 110, 070602 (2013).
- S. Sachdev, Quantum Phase Transitions, 2nd ed. (Cambridge University Press, Cambridge, UK, 2011).