Scalable Distributed Memory Implementation of the Quasi-Adiabatic Propagator Path Integral
The accurate simulation of dissipative quantum dynamics subject to a non-Markovian environment poses persistent numerical challenges, in particular for structured environments where sharp mode resonances induce long-time system bath correlations. We present a scalable distributed memory implementati...
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Main Authors | , |
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Format | Journal Article |
Language | English |
Published |
03.06.2025
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Subjects | |
Online Access | Get full text |
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Summary: | The accurate simulation of dissipative quantum dynamics subject to a
non-Markovian environment poses persistent numerical challenges, in particular
for structured environments where sharp mode resonances induce long-time system
bath correlations. We present a scalable distributed memory implementation of
the Mask Assisted Coarse Graining of Influence Coefficients (MACGIC) -
Quasi-Adiabatic Propagator Path Integral (-QUAPI) method that exploits the
memory resources of multiple compute nodes and mitigates the memory bottleneck
of the method via a new pre-merging algorithm while preserving numerical
accuracy. The distributed memory implementation spreads the paths over the
computing nodes by means of the MPI protocoll and efficient high level path
management is achieved via an implementation based on hash maps. The efficiency
of the new implementation is demonstrated in large-scale dissipative quantum
dynamics simulations that account for the coupling to a structured
non-Markovian environment containing a sharp resonance, a setup for which
convergence properties are investigated in depth. Broad applicability and the
non-perturbative nature of the simulation method is illustrated via the tuning
of the mode resonance frequency of the structured environment with respect to
the system frequency. The simulations reveal a splitting of resonances due to
strong system-environment interaction and the emergence of sidebands due to
multi-excitations of the bosonic mode that are not accounted for in
perturbative approaches. The simulations demonstrate the versatility of the new
MACGIC-QUAPI method in the presence of strong non-Markovian system bath
correlations. |
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DOI: | 10.48550/arxiv.2506.03127 |