2021
DOI: 10.48550/arxiv.2101.05466
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Constructing Tensor Network Influence Functionals for General Quantum Dynamics

Erika Ye,
Garnet Kin-Lic Chan

Abstract: We describe an iterative formalism to compute influence functionals that describe the general quantum dynamics of a subsystem beyond the assumption of linear coupling to a quadratic bath. We use a space-time tensor network representation of the influence functional and investigate its approximability in terms of the bond dimensions and time-like entanglement in the tensor network description. We study two numerical models, the spin-boson model and a model of interacting hard-core bosons in a 1D harmonic trap. … Show more

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Cited by 4 publications
(14 citation statements)
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“…This surprising behavior is further confirmed by our computations in several limiting regimes [72]. It can be ascribed to including the subsystem-environment interaction terms fully into the influence functional [34], in contrast to earlier tensor-network approaches where the splitting of interaction gates as two-site MPOs changes the scaling of the IM with the Trotter step [22,71].…”
Section: Discussionsupporting
confidence: 78%
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“…This surprising behavior is further confirmed by our computations in several limiting regimes [72]. It can be ascribed to including the subsystem-environment interaction terms fully into the influence functional [34], in contrast to earlier tensor-network approaches where the splitting of interaction gates as two-site MPOs changes the scaling of the IM with the Trotter step [22,71].…”
Section: Discussionsupporting
confidence: 78%
“…[33] and subsequently Refs. [71,72] exploited a similar numerical approach within the influence-functional formalism. Ref.…”
Section: Integrability Breakingmentioning
confidence: 99%
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“…The method we have introduced here can be taken even further by breaking down the MPOs for each bath into a series of MPOs representing the individual modes that make up the bath. This approach is similar in spirit to other recent works [34,50] where the process tensor can be constructed in a purely numerical manner, even when the environment is not Gaussian and the influence functional cannot be calculated analytically in closed form. Finally, we stress that process tensors calculated using different approaches for each environment can be combined like this, provided time is discretized in the same way.…”
Section: Matrix Product Form Of the Influence Tensormentioning
confidence: 86%
“…where ρ O is the Gibbs state of the optical environment and A q (t) is the operator f q a † q + f * q a q in the interaction picture. Taking the continuum limit over the optical modes, we obtain an expression in terms of the absorption and emission effective spectral densities (50) where the vibrational influence is contained within [58][59][60] V…”
Section: A Polaron Theorymentioning
confidence: 99%