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79 lines
3.6 KiB
TeX
79 lines
3.6 KiB
TeX
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\begin{block}{NMQSD/HOPS}
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Consider the model of a general quantum system (\(H_\sys(t)\))
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coupled to \(N\) baths
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\begin{equation}
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\label{eq:generalmodel}
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H(t) = H_\sys(t) + ∑_{n=1}^N \qty[L_n^†(t)B_n + \hc] + ∑_{n=1}^NH_B\nth ,
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\end{equation}
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with \(B_n=∑_{λ} g_λ\nth a_λ\nth\) and
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\(H_B\nth=∑_λω_λ\nth \qty(b_λ\nth)^\dag b_λ\nth\). Projecting
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onto coherent bath states
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\begin{equation}
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\label{eq:projected}
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\ket{ψ(t)} = ∫∏_{n=1}^N{\qty(\frac{\dd{\vb{z}\nth}}{π^{N_n}}\eu^{-\abs{\vb{z}}^2})}\ket{ψ(t,\underline{\vb{z}}^\ast)}\ket{\underline{\vb{z}}}
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\end{equation}
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leads to \emph{stochastic} Non-Markovian
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Quantum State Diffusion (NMQSD)
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\begin{equation}
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\label{eq:nmqsd}
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∂_tψ_t(\vb{η}^\ast_t) = -\iu H(t) ψ_t(\vb{η}^\ast_t) +
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\vb{L}\cdot \vb{η}^\ast_tψ_t(\vb{η}^\ast_t) - ∑_{n=1}^N L(t)_n^†∫_0^t\dd{s}α_n(t-s)\fdv{ψ_t(\vb{η}^\ast_t)}{η^\ast_n(s)},
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\end{equation}
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where the
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\(α_n(τ) = \ev{B_n(t) B_n(0)} = ∑_λ\abs{g_λ}^2 \eu^{-\iu ω_λ t}\)
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{\tiny (interaction picture)} are the bath correlation functions (BCF)
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and the \(η_n=(\vb{η})_n\) are complex valued Gaussian processes
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with \(\mathcal{M}(η_n(t))=\mathcal{M}(η_n(t)η_n(s))=0\) and
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\(\mathcal{M}(η_n(t)η_n^\ast(s))=α_n(t-s)\). The reduced state of
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the system is recovered through
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\(ρ=\mathcal{M}(ψ_t(\vb{η}^\ast_t)ψ_t^\dag(\vb{η}^\ast_t))\).
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With \(α_n(τ)=∑_{\mu}^{M_n}G_μ\nth\eu^{-W_μ\nth τ}\) we define
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\begin{align}
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\label{eq:dop}
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D_μ\nth(t) &\equiv ∫_0^t\dd{s}G_μ\nth\eu^{-W_μ\nth
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(t-s)}\fdv{η^\ast_n(s)} &
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D^{\underline{\vb{k}}} &\equiv
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∏_{n=1}^N∏_{μ=1}^{M_n}
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{\sqrt{\frac{\underline{\vb{k}}_{n,μ}!}{\qty(G\nth_μ)^{\underline{\vb{k}}_{n,μ}}}}
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\frac{1}{\iu^{\underline{\vb{k}}_{n,μ}}}}\qty(D_μ\nth)^{\underline{\vb{k}}_{n,μ}}\\
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ψ^{\underline{\vb{k}}} &\equiv D^{\underline{\vb{k}}}ψ \equiv \braket{\kmat}{Ψ}.
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\end{align}
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For the Fock-space embedded hierarchy state \(\ket{Ψ}\) we find
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\begin{equation}
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\label{eq:fockhops}
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\begin{aligned}
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∂_t\ket{Ψ} &= \qty[
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\begin{aligned}
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-\iu H_\sys + \vb{L}\cdot\vb{η}^\ast &-
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∑_{n=1}^N∑_{μ=1}^{M_n}b_{n,μ}^\dag b_{n,μ} W\nth_μ \\
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&\qquad+
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\iu ∑_{n=1}^N∑_{μ=1}^{M_n} \sqrt{G_{n,μ}} \qty(b^†_{n,μ}L_n +
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b_{n,μ}L^†_n)
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\end{aligned}
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] \ket{Ψ}.
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\end{aligned}
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\end{equation}
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Truncating the hierarchy depth \(\kmat\) in \cref{eq:fockhops}
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yields the numeric method.
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Finite temperature can be dealt with through substituting
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\(B(t)\rightarrow B(t)+ξ(t)\) with
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\begin{equation}
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\label{eq:thermproc}
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\begin{aligned}
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\mathcal{M}(ξ(t))&=0=\mathcal{M}(ξ(t) ξ(s)) \\
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\mathcal{M}\left(ξ(t) ξ^{*}(s)\right)&=\frac{1}{\pi} ∫_{0}^{∞}
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\dd{ω} \bar{n}(\beta ω) J(ω) e^{-{\iu} ω(t-s)} \\
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J(ω)&=π\sum_λ\abs{g_λ}^2δ(w-ω_λ).
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\end{aligned}
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\end{equation}
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See~\cite{Hartmann2017Dec} for details about finite temperatures
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and the nonlinear method.
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\end{block}
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%%% Local Variables:
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%%% mode: latex
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%%% TeX-master: ""
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%%% End:
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