Efficient Simulation of Quantum Transport in 1D
APA
Pollmann, F. (2024). Efficient Simulation of Quantum Transport in 1D. Perimeter Institute. https://pirsa.org/24040097
MLA
Pollmann, Frank. Efficient Simulation of Quantum Transport in 1D. Perimeter Institute, Apr. 18, 2024, https://pirsa.org/24040097
BibTex
@misc{ pirsa_PIRSA:24040097, doi = {10.48660/24040097}, url = {https://pirsa.org/24040097}, author = {Pollmann, Frank}, keywords = {Condensed Matter}, language = {en}, title = {Efficient Simulation of Quantum Transport in 1D}, publisher = {Perimeter Institute}, year = {2024}, month = {apr}, note = {PIRSA:24040097 see, \url{https://pirsa.org}} }
Tensor product states are powerful tools for simulating area-law entangled states of many-body systems. The applicability of such methods to the non-equilibrium dynamics of many-body systems is less clear due to the presence of large amounts of entanglement. New methods seek to reduce the numerical cost by selectively discarding those parts of the many-body wavefunction, which are thought to have relatively litte effect on dynamical quantities of interest. We present a theory for the sizes of “backflow corrections”, i.e., systematic errors due to these truncation effects and introduce the dissipation-assisted operator evolution (DAOE) method for calculating transport properties of strongly interacting lattice systems in the high temperature regime. In the DAOE method, we represent the observable as a matrix product operator, and show that the dissipation leads to a decay of operator entanglement, allowing us to capture the dynamics to long times. We benchmark this scheme by calculating spin and energy diffusion constants in a variety of physical models and compare to other existing methods.
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