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Optimal speed-up of multi-step Pontus-Mpemba protocols

Marco Peluso, Reinhold Egger, Andrea Nava

Abstract

The classical Mpemba effect is the counterintuitive phenomenon where hotter water freezes faster than colder water due to the breakdown of Newton's law of cooling after a sudden temperature quench. The genuine nonequilibrium post-quench dynamics allows the system to evolve along effective shortcuts absent in the quasi-static regime. When the time needed for preparing the (classical or quantum) system in the hotter initial state is included, we encounter so-called Pontus-Mpemba effects. We here investigate multi-step Pontus-Mpemba protocols for open quantum systems whose dynamics is governed by time-inhomogeneous Lindblad master equations. In the limit of infinitely many steps, one arrives at continuous Pontus-Mpemba protocols. We study the crossover between the quasi-static and the sudden-quench regime, showing the presence of dynamically generated shortcuts achieved for time-dependent dissipation rates. Time-dependent rates can also cause non-Markovian behavior, highlighting the existence of rich dynamical regimes accessible beyond the Markovian framework.

Optimal speed-up of multi-step Pontus-Mpemba protocols

Abstract

The classical Mpemba effect is the counterintuitive phenomenon where hotter water freezes faster than colder water due to the breakdown of Newton's law of cooling after a sudden temperature quench. The genuine nonequilibrium post-quench dynamics allows the system to evolve along effective shortcuts absent in the quasi-static regime. When the time needed for preparing the (classical or quantum) system in the hotter initial state is included, we encounter so-called Pontus-Mpemba effects. We here investigate multi-step Pontus-Mpemba protocols for open quantum systems whose dynamics is governed by time-inhomogeneous Lindblad master equations. In the limit of infinitely many steps, one arrives at continuous Pontus-Mpemba protocols. We study the crossover between the quasi-static and the sudden-quench regime, showing the presence of dynamically generated shortcuts achieved for time-dependent dissipation rates. Time-dependent rates can also cause non-Markovian behavior, highlighting the existence of rich dynamical regimes accessible beyond the Markovian framework.
Paper Structure (8 sections, 27 equations, 5 figures)

This paper contains 8 sections, 27 equations, 5 figures.

Figures (5)

  • Figure 1: Two-step Pontus-Mpemba effects in open two-level systems described by Eq. \ref{['eq:Lindblad_ME']}. (a) Trace distance $\mathcal{D}_T \left( \rho(t), \rho_\mathrm{F} \right)$ vs time $t$, comparing the direct (first system copy) quench protocol to two-step Pontus-Mpemba (second system copy) protocols. We use $|\mathbf{h}_\mathrm{S}|=1$ as energy unit. For both system copies, the initial state S is chosen as steady state, see Eq. \ref{['eq:steady-state']}, for $\mathbf{h}_\mathrm{S}=(0,0.998,0.062)$ and $(\gamma_{+},\gamma_{-},\gamma_{z})_{\rm S}=(0,0.2,0)$, while the final state F is fixed by $\mathbf{h}_\mathrm{F}=(0,-0.966,0.258)$ and the same rates, $(\gamma_+,\gamma_-,\gamma_{z})_{\rm F}=(0,0.2,0)$. For the second system copy, the auxiliary state A is chosen as steady state for $\mathbf{h}_\mathrm{A}=(0,2,2)$ and $(\gamma_+,\gamma_-,\gamma_z)_{\rm A}=(1,0,0)$. The trace distance for the first system copy is shown as red curve. The yellow curve shows the time dependence of ${\cal D}_T(\rho(t),\rho_{\rm F})$ for the second system copy under the attractor A, where blue, green, and black curves correspond to different choices for the intermediate time $t_{\rm I}$. The weak type-A Pontus-Mpemba effect is realized for $t_{\rm I}=t_\mathrm{I_{wA}}$, with the blue curve showing ${\cal D}_T(\rho(t),\rho_{\rm F})$ for $t>t_{\rm I}$. The weak type-B effect with $t_{\rm I}=t_\mathrm{I_{wB}}$ corresponds to the green curve for $t>t_{\rm I}$. Finally, the strong Pontus-Mpemba effect is achieved for $t_{\rm I}=t_\mathrm{I_{s}}$, with the black curve for $t>t_{\rm I}$. All trajectories reach the same final state F for $t\to \infty$. (b) Bloch ball representation of the system dynamics. The red curve represents the direct $\mathrm{S}\rightarrow \mathrm{F}$ trajectory of the Bloch vector, and the yellow curve shows the $\mathrm{S}\rightarrow \mathrm{A}$ trajectory for the second system copy. The blue curve connects $\mathrm{I_{wA}} \rightarrow \mathrm{F}$, corresponding to the blue curve in panel (a), realizing a weak type-A effect. In panels (b)--(d) the velocity field amplitude for the direct protocol is displayed on a color scale using a regular grid within the Bloch ball. The color bar is shown in panel (c). (c) Same as in (b) but for the green trajectory in (a), realizing the weak type-B effect. (d): Same as in (b) but for the black trajectory in (a), realizing the strong Pontus-Mpemba effect.
  • Figure 2: Continuous Pontus-Mpemba protocol for an open two-level system described by Eq. \ref{['eq:Lindblad_ME']} with the time-dependent rates \ref{['eq:gamma_time-dependent']}. (a) Trace distance $\mathcal{D}_T \left( \rho(t), \rho_\mathrm{F} \right)$ vs time $t$ for the direct protocol and for the continuous Pontus-Mpemba protocol. We use $|\mathbf{h}_\mathrm{S}|=1$ as energy unit. In both cases, the initial state S is the steady state \ref{['eq:steady-state']} corresponding to $\mathbf{h}_\mathrm{S}=(0.707,0.707,0)$ and $(\gamma_+,\gamma_-,\gamma_z)_{\rm S}=(0.5,0.1,0)$, while the final state F is determined by $\mathbf{h}_\mathrm{F}=\mathbf{h}_\mathrm{S}$ and $(\gamma_+,\gamma_-,\gamma_z)_{\rm F}=(0.01,0.05,0)$. The trace distance for the direct protocol ${\rm S}\rightarrow {\rm F}$ is shown as red curve. The green (blue) curve corresponds to the trace distance between S and F for a trajectory described by the time-dependent parameters in Eq. \ref{['eq:gamma_time-dependent']} with $\omega=0$ and $\kappa=0.035$ ($\kappa=0.2$). In all cases, the state F is reached for $t\to \infty$, and the system dynamics is Markovian (since $\omega=0$). The dashed line indicates the cutoff $\epsilon=10^{-4}$ for the trace distance. (b) Bloch ball representation of the system dynamics. The red curve represents the direct sudden-quench curve $\mathrm{S}\rightarrow \mathrm{F}$ for $\mathbf{r}(t)$, corresponding to the red curve in (a). Only the portion of the Bloch ball with $|\mathbf{r}|<0.25$ is shown. The velocity field amplitude for the F attractor is shown using color scales on a regular grid inside the Bloch ball; the color bar is shown in (c). (c) Same as (b) but for the blue curve in (a), realizing the continuous Pontus-Mpemba effect. The shown velocity field corresponds to the attractor S for the initial state. (d) Same as (c) but for the green curve in (a). Here the continuous Pontus-Mpemba effect does not take place.
  • Figure 3: Comparison between direct and continuous Pontus-Mpemba protocols for open Markovian two-state systems. (a) Trace distance $\mathcal{D}_T \left( \rho(t), \rho_\mathrm{F} \right)$ vs time $t$. For both protocols, the initial state S is the steady state \ref{['eq:steady-state']} corresponding to $\mathbf{h}_\mathrm{S}=(0.183,0.183,-0.966)$ and $(\gamma_{+},\gamma_-,\gamma_z)_{\rm S}=(0.5,0.1,0),$ while the final state F is determined by $\mathbf{h}_\mathrm{F}=\mathbf{h}_\mathrm{S}$ and $(\gamma_{+},\gamma_-,\gamma_z)_{\rm F}=(0.1,0.5,0)$. The trace distance for the direct protocol ${\rm S}\rightarrow{\rm F}$ is shown as red curve; the dashed line is the cutoff $\epsilon$. The blue curve shows the trace distance between S and F for the time-dependent rates in Eq. \ref{['eq:gamma_time-dependent']} with $\kappa=0.6$ and $\omega=0.2$. Both protocols reach the same final state F for $t\to \infty$. Clearly, the continuous Pontus-Mpemba effect is realized, and a crossing of the trace distance curves takes place at $t\approx 13$. (b) Same as (a) but for $\kappa=0.4$ and $\omega=0.45$. The inconclusive regime is observed.
  • Figure 4: Color-scale plots of the gain function $G(\kappa,\omega)$ in Eq. \ref{['gain_function']} for $\omega=0$, where $G>0$ indicates a speed-up under to the continuous Pontus-Mpemba protocol with respect to the direct sudden-quench protocol. Note that the dynamics is then always Markovian. (a)$G$ in the $\kappa$--$\theta$ plane, where $\theta$ is the angle between $\mathbf{h}_\mathrm{F}=\mathbf{h}_\mathrm{S}=(\sin{\theta},0,\cos{\theta})$ and the $z$-axis. The initial state S is determined by $(\gamma_{+},\gamma_-,\gamma_z)_\mathrm{S}=(0.75, 0.75, 0.75)$, and the final state F corresponds to $(\gamma_{+},\gamma_-,\gamma_z)_\mathrm{F}=(0.05, 0.1, 0.15).$(b) Same as (a) but for $(\gamma_{+},\gamma_-,\gamma_z)_\mathrm{S}=(0.5,0.1,0)$ and $(\gamma_{+},\gamma_-,\gamma_z)_\mathrm{F}=(0.1,0.5,0)$.
  • Figure 5: Color-scale plots for the gain function $G(\kappa,\omega)$ in Eq. \ref{['gain_function']} for $\omega>0$ in Eq. \ref{['eq:gamma_time-dependent']}. Dashed lines separate Markovian (below) and non-Markovian (above) regimes, see Eq. \ref{['nMB']}. Gray areas correspond to the inconclusive regime. (a)$G$ in the $\kappa$--$\omega$ plane for $\mathbf{h}=\mathbf{h}_\mathrm{F}=\mathbf{h}_\mathrm{S}=(1,0,0)$ perpendicular to the $z$-axis. All other parameters are as in Fig. \ref{['fig:fig4']}(a). (b) Same as (a) but for $\mathbf{h}=(0,0,1)$ parallel to the $z$-axis. (Again, other parameters are as in Fig. \ref{['fig:fig4']}(a).)