aiqbench analysis
This research introduces a novel algorithm for imaginary time evolution in matrix product states that achieves exponential speedups by combining logarithmic time grids with A-stable implicit stepping. The method relies exclusively on standard matrix-vector products and linear solves, making it highly compatible with existing MPS toolboxes for simulating strongly correlated electron systems. For computational physicists, this approach significantly reduces the computational cost required to resolve long-time dynamics and extract properties like the Kondo temperature.
Fast Tensor Network Imaginary Time Evolution by Implicit Stepping on Logarithmic Grids
arXiv:2606.02930v1 Announce Type: cross Abstract: We present a new method for the efficient imaginary time evolution of quantum many-body wavefunctions represented by matrix product states (MPS). We first show that logarithmic time grids are sufficient to resolve long imaginary time dynamics, yielding an exponential reduction in the number of time steps compared with standard approaches. We then show that A-stable implicit time-stepping methods for ordinary differential equations allow stable propagation for any time step size. The resulting scheme requires only matrix-vector products and linear solves, standard operations in the MPS toolbox. We validate our approach with two examples: a Heisenberg spin chain, which we use to demonstrate a speedup of several orders of magnitude over the standard time-dependent variational principle method with uniform time steps, and a single-site Anderson impurity model with a metallic bath, for which propagation to large imaginary times allows one to observe the exponential dependence of the Kondo temperature on the interaction strength.
Abstract:We present a new method for the efficient imaginary time evolution of quantum many-body wavefunctions represented by matrix product states (MPS). We first show that logarithmic time grids are sufficient to resolve long imaginary time dynamics, yielding an exponential reduction in the number of time steps compared with standard approaches. We then show that A-stable implicit time-stepping methods for ordinary differential equations allow stable propagation for any time step size. The resulting scheme requires only matrix-vector products and linear solves, standard operations in the MPS toolbox. We validate our approach with two examples: a Heisenberg spin chain, which we use to demonstrate a speedup of several orders of magnitude over the standard time-dependent variational principle method with uniform time steps, and a single-site Anderson impurity model with a metallic bath, for which propagation to large imaginary times allows one to observe the exponential dependence of the Kondo temperature on the interaction strength.
Strongly Correlated Electrons (cond-mat.str-el); Numerical Analysis (math.NA); Quantum Physics (quant-ph)
arXiv:2606.02930 [cond-mat.str-el]
(or arXiv:2606.02930v1 [cond-mat.str-el] for this version)
https://doi.org/10.48550/arXiv.2606.02930 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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