Abstract
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