Effective Hamiltonian approach to the exact dynamics of open system by complex discretization approximation for environment
H. T. Cui, Y. A. Yan, M. Qin, and X. X. Yi

TL;DR
This paper introduces a complex discretization approximation method for simulating open quantum system dynamics, effectively reducing recurrence issues and providing insights through complex energy modes.
Contribution
It generalizes the discretization approximation into complex frequency space, establishing a non-Hermitian effective Hamiltonian for better open system dynamics simulation.
Findings
Significantly reduces recurrence effects in simulations.
Accurately models dissipation with complex energy modes.
Improves computational efficiency and accuracy.
Abstract
The discretization approximation method commonly used to simulate the dynamics of quantum system coupled to the environment in continuum often suffers from the periodically partial recovery of initial state because of the effect of finite dimension, dubbed the recurrence. To address this issue, we proposes a generalization of the discretization approximation method into the complex frequency space basing on complex Gauss quadratures. An effective Hamiltonian can be established by this way, which is non-Hermitian and demonstrates the complex energy modes with negative imaginary part, describing the dissipation of the system. This method is applied to examine the dynamics in two exactly solvable models, the dephasing model and the single-excitation dissipative dynamics in the Aubry-Andr\'{e}-Harper model. By comparison with the exact numerics and analytical results, it is found that our…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpectroscopy and Quantum Chemical Studies · Quantum, superfluid, helium dynamics · Quantum chaos and dynamical systems
