This data set was generated for the spin-boson model using hierarchical equations of motion method for 1,000 model parameters. The data set contains reduced density matrix of the two-level system.
See related materials in Collection at: https://doi.org/10.25452/figshare.plus.c.6389553
Simulations of the dynamics of dissipative quantum systems utilize many methods such as physics-based quantum, semiclassical, and quantum-classical as well as machine learning-based approximations, development and testing of which requires diverse data sets. Here we present a new database QD3SET-1 containing eight data sets of quantum dynamical data for two systems of broad interest, spin-boson (SB) model and the Fenna–Matthews–Olson (FMO) complex, generated with two different methods solving the dynamics, approximate local thermalizing Lindblad master equation (LTLME) and highly accurate hierarchy equations of motion (HEOM). One data set was generated with the SB model which is a two-level quantum system coupled to a harmonic environment using HEOM for 1,000 model parameters. Seven data sets were collected for the FMO complex of different sizes (7- and 8-site monomer and 24-site trimer with LTLME and 8-site monomer with HEOM) for 500–879 model parameters. Our QD3SET-1 database contains both population and coherence dynamics data and part of it has been already used for machine learning-based quantum dynamics studies.
National Natural Science Foundation of China (No. 22003051)
Fundamental Research Funds for the Central Universities (No. 20720210092)
Ralph E. Powe Junior Faculty Enhancement Award from Oak Ridge Associated Universities
Outstanding Youth Scholars program (Overseas, 2021) National Natural Science Foundation of China
Lab project of the State Key Laboratory of Physical Chemistry of Solid Surfaces, Xiamen University
Research Institution(s)University of Delaware, Xiamen University, Anhui University
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