Abstract:Modeling open quantum systems-quantum systems coupled to a bath-is of value in condensed matter theory, cavity quantum electrodynamics, nanosciences and biophysics. The real-time simulation of open quantum systems was advanced significantly by the recent development of chain mapping techniques and the use of matrix product states that exploit the intrinsic entanglement structure in open quantum systems. The computational cost of simulating open quantum systems, however, remains high when the bath is excited to… Show more
“…As mentioned in Sec , HM is feasible for those models which contain a large number of phonon modes and few exciton states. Therefore, to test the validity of the HM method, we first apply HM to two model systems: a singlet fission , model with 183 discrete modes , and a spin-boson model with an infinite number of phonon modes in finite temperature . Subsequently, we simulate the singlet fission process in the realistic rubrene crystals .…”
Section: Resultsmentioning
confidence: 99%
“…Actually, the spin-boson model is just a special case of the general exciton–phonon coupling model. And we choose the “adiabatic regime” in ref . Because different spin states share the same spectral density function we have N dir = 1.…”
Section: Resultsmentioning
confidence: 99%
“…The temperature effect here just enlarges the exciton−phonon coupling because for T > 0, cosh θ K > 1. Moreover, the so-called "thermalized spectral density" 38,40,60 is theoretically equal to the TFD treatment. Unlike Fermionic systems, the exciton−phonon model does not conserve the phonon number.…”
Section: Tdvp In the Mps/mpo Languagementioning
confidence: 99%
“…We perform the 2TDVP for the first half of the time followed by the stochastic adaptive one-site TDVP (SA-1TDVP) 53 to accelerate the computation. Other parameters are the same as in ref 40.…”
Section: Journal Of Chemicalmentioning
confidence: 99%
“…Consequently, the HEM computational costs increase quickly when N ex is relatively large. A similar approach is the time-evolving density operator with orthogonal polynomials (t-TEDOPA), − which is the simplified version of HEM when N ex = 1.…”
Quantum dynamics (QD) simulation is a powerful tool for
interpreting
ultrafast spectroscopy experiments and unraveling their microscopic
mechanism in out-of-equilibrium excited state behaviors in various
chemical, biological, and material systems. Although state-of-the-art
numerical QD approaches such as the time-dependent density matrix
renormalization group (TD-DMRG) already greatly extended the solvable
system size of general linearly coupled exciton–phonon models
with up to a few hundred phonon modes, the accurate simulation of
larger system sizes or strong system-environment interactions is still
computationally highly challenging. Based on quantum information theory
(QIT), in this work, we realize that only a small number of effective
phonon modes couple to the excitonic system directly regardless of
a large or even infinite number of modes in the condensed phase environment.
On top of the identified small number of direct effective modes, we
propose a hierarchical mapping (HM) approach through performing block
Lanczos transformations on the remaining indirect modes, which transforms
the Hamiltonian matrix to a nearly block-tridiagonal form and eliminates
the long-range interactions. Numerical tests on model spin-boson systems
and realistic singlet fission models in a rubrene crystal environment
with up to 7000 modes and strong system-environment interactions indicate
HM can reduce the system size by 1–2 orders of magnitude and
accelerate the calculation by ∼80% without losing accuracy.
“…As mentioned in Sec , HM is feasible for those models which contain a large number of phonon modes and few exciton states. Therefore, to test the validity of the HM method, we first apply HM to two model systems: a singlet fission , model with 183 discrete modes , and a spin-boson model with an infinite number of phonon modes in finite temperature . Subsequently, we simulate the singlet fission process in the realistic rubrene crystals .…”
Section: Resultsmentioning
confidence: 99%
“…Actually, the spin-boson model is just a special case of the general exciton–phonon coupling model. And we choose the “adiabatic regime” in ref . Because different spin states share the same spectral density function we have N dir = 1.…”
Section: Resultsmentioning
confidence: 99%
“…The temperature effect here just enlarges the exciton−phonon coupling because for T > 0, cosh θ K > 1. Moreover, the so-called "thermalized spectral density" 38,40,60 is theoretically equal to the TFD treatment. Unlike Fermionic systems, the exciton−phonon model does not conserve the phonon number.…”
Section: Tdvp In the Mps/mpo Languagementioning
confidence: 99%
“…We perform the 2TDVP for the first half of the time followed by the stochastic adaptive one-site TDVP (SA-1TDVP) 53 to accelerate the computation. Other parameters are the same as in ref 40.…”
Section: Journal Of Chemicalmentioning
confidence: 99%
“…Consequently, the HEM computational costs increase quickly when N ex is relatively large. A similar approach is the time-evolving density operator with orthogonal polynomials (t-TEDOPA), − which is the simplified version of HEM when N ex = 1.…”
Quantum dynamics (QD) simulation is a powerful tool for
interpreting
ultrafast spectroscopy experiments and unraveling their microscopic
mechanism in out-of-equilibrium excited state behaviors in various
chemical, biological, and material systems. Although state-of-the-art
numerical QD approaches such as the time-dependent density matrix
renormalization group (TD-DMRG) already greatly extended the solvable
system size of general linearly coupled exciton–phonon models
with up to a few hundred phonon modes, the accurate simulation of
larger system sizes or strong system-environment interactions is still
computationally highly challenging. Based on quantum information theory
(QIT), in this work, we realize that only a small number of effective
phonon modes couple to the excitonic system directly regardless of
a large or even infinite number of modes in the condensed phase environment.
On top of the identified small number of direct effective modes, we
propose a hierarchical mapping (HM) approach through performing block
Lanczos transformations on the remaining indirect modes, which transforms
the Hamiltonian matrix to a nearly block-tridiagonal form and eliminates
the long-range interactions. Numerical tests on model spin-boson systems
and realistic singlet fission models in a rubrene crystal environment
with up to 7000 modes and strong system-environment interactions indicate
HM can reduce the system size by 1–2 orders of magnitude and
accelerate the calculation by ∼80% without losing accuracy.
Thanks to the high compression of the matrix product
state (MPS)
form of the wave function and the efficient site-by-site iterative
sweeping optimization algorithm, the density matrix normalization
group (DMRG) and its time-dependent variant (TD-DMRG) have been established
as powerful computational tools in accurately simulating the electronic
structure and quantum dynamics of strongly correlated molecules with
a large number (101–2) of quantum degrees of freedom
(active orbitals or vibrational modes). However, the quantitative
characterization of the quantum many-body behaviors of realistic strongly
correlated systems requires a further consideration of the interaction
between the embedded active subsystem and the remaining correlated
environment, e.g., a larger number (102–3) of external
orbitals in electronic structure or infinite condensed-phase phononic
modes in nucleus dynamics. To this end, we introduced three new post-DMRG
and TD-DMRG approaches, namely (1) DMRG2sCI-MRCI and DMRG2sCI-ENPT
by the reconstruction of selected configuration interaction (sCI)
type of compact reference function from DMRG coefficients and the
use of externally contracted MRCI (multireference configuration interaction)
and Epstein–Nesbet perturbation theory (ENPT), without recourse
to the expensive high order n-electron reduced density
matrices (n-RDMs). (2) DMRG combined with RR-MRCI
(renormalized residue-based MRCI), which improves the computational
accuracy and efficiency of internally contracted (ic) MRCI by renormalizing
the contracted bases with small-sized buffer environment(s) of a few
external orbitals as probes based on quantum information theory. (3)
HM (hierarchical mapping)-TD-DMRG in which a large environment is
reduced to a small number of renormalized environmental modes (which
accounts for the most vital system–environment interactions)
through stepwise mapping transformation. These advances extend the
efficacy of highly accurate DMRG/TD-DMRG computations to the quantitative
characterization of the electronic structure and quantum dynamics
in realistic strongly correlated systems coupled with large environments
and are reviewed in this paper.
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