Abstract
We study the coherence trapping of a qubit correlated initially with a non-Markovian bath in a pure dephasing channel. By considering the initial qubit-bath correlation and the bath spectral density, we find that the initial qubit-bath correlation can lead to a more efficient coherence trapping than that of the initially separable qubit-bath state. The stationary coherence in the long time limit can be maximized by optimizing the parameters of the initially correlated qubit-bath state and the bath spectral density. In addition, the effects of this initial correlation on the maximal evolution speed for the qubit trapped to its stationary coherence state are also explored.
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Introduction
Quantum state takes the form of superposition which leads to quantum coherence. Quantum coherence plays a central role in the applications of quantum physics and quantum information science1,2. However, it is fragile due to interactions of the environment. Understanding of quantum coherence dynamics of an open system is a very important task in many areas of physics ranging from quantum optics to quantum information processing. It is known that many quantum open systems exhibit non-Markovian behavior with a flow of information from the environment back to the system3,4,5,6,7. This presence of non-Markovian effects can induce the long-lasting coherence in biological surroundings8,9 and the steady state entanglement in the coherently coupled dimer systems or the thermal equilibrium states10,11. In this report, we would mainly consider non-Markovian effects on the long-lived coherence of the open system. And then, by considering the pure dephasing non-Markovian bath, decay of quantum coherence of the system would be terminated in a finite time, such that the system can partly retain coherence in the long time limit. This new phenomenon, known as coherence trapping10,12, is important for quantum information processing since the effective long-time quantum coherence of the system is preserved. Coherence trapping of a quantum system is mainly related to the open dynamics and is generally analyzed in the fact that the system and bath are initially separable. As is well known, however, the initial system-bath correlations are important for the dynamics of the open systems. The distinguishability of quantum states would increase in the presence of initial system-bath correlations13,14. The information flow between the system and its bath and the corresponding degree of non-Markovianity can also be influenced by the initial correlations15,16,17,18. On the other hand, the standard master equation approach to open systems may not be appropriate unless a product state is explicitly prepared19,20,21,22,23,24. Besides, the initial system-bath correlations can also allow for new control channels of open quantum systems with incoherent25 or coherent light26,27. So the coherence trapping of an open system due to the initial system-bath correlations should be studied both physically and methodologically.
In this paper, we will concentrate on the following questions: how do the initial system-bath correlations affect coherence trapping of the system? which form of the initially correlated system-bath state can maximize the stationary coherence of the system? We consider the pure dephasing model of a qubit initially correlated with a zero-temperature Ohmic-Like bath. We will show that the initial qubit-bath correlation can lead to the more efficient coherence trapping, while the lower initial coherence of the qubit is induced by this initial correlation. In the long time limit, the stationary coherence of the qubit can be maximized by choosing the optimal parameters of the initially correlated qubit-bath state and the optimal Ohmicity parameter of the bath.
Furthermore, the task to drive an initial state to a prescribed target state in the shortest possible time is significant for quantum control in many areas of physics, such as quantum computation28, fast population transfer in quantum optics29 and quantum optimal control protocols30,31. This minimum evolution time, which is defined as quantum speed limit (QSL) time32,33,34,35,36,37,38,39,40,41,42,43,44,45, is a key method in characterizing the maximal speed of evolution of quantum systems. Here in order to speed up the evolution from an initial coherence state to its stationary coherence state, we further focus on the interactions of the initial qubit-bath correlated state, the spectral density function of the bath and the QSL time. Remarkably, we find that the initial qubit-bath correlation can reduce the QSL time for the occurrence of coherence trapping. The maximal evolution speed for the qubit trapped to its stationary coherence state can also be controlled by optimizing the parameters of the initial qubit-bath correlated state and the bath spectral density function.
Results
Model
Let us consider an exactly solvable model, in which the process of energy dissipation is negligible and only pure depahsing is a mechanism for decoherence of the qubit. The associated Hamiltonian reads (setting ħ = 1),
where the operator σz is defined by , associated with the upper level |e〉 and the lower level |g〉 of the qubit; aω and are the bosonic annihilation and creation operators for the bath, which is characterized by the frequency ω; gω is the coupling constant of the interaction of the qubit with the bath and is the complex conjugate to gω. The Hamiltonian in Eq. (1) can be rewritten in the block-diagonal structure46,47 H = diag[He, Hg], where .
Here, we consider the situation where a correlated initial state of the qubit-bath system in the form14,
with the non-zero complex numbers cg/e are satisfied |ce|2 + |cg|2 = 1. Here, in order to introduce the initial coherence of the qubit, we have considered both the ground |g〉 and excited |e〉 states of the qubit in the above equation. And we assume that |ξ0〉 is a bath ground state and is a bath superposition state of the ground state |ξ0〉 and a coherent state . The displacement operator D(f) reads for an arbitrary square-integrable function f. The constant normalizes the state |ξλ〉, where Re is a real part of 〈ξ0|ξf〉 in the bath Hilbert space. The correlation parameter λ ∈ [0, 1] determines the initial correlation of the qubit and bath. Through performing the Hamiltonian described in Eq. (1), the state of the total system at any time t is given by , where and . Then the reduced density matrix ρλ(t) of the qubit at time t reads, , and , with the dephasing rate ϒλ(t).
The qubit dynamics is closely dictated by the spectral density function characterising the qubit-bath interaction. In the following the bath can be described by the family of Ohmic-Like spectra , with ωc being the cutoff frequency and α > 0 a dimensionless coupling constant. By changing the μ-parameter, one goes from sub-Ohmic baths (−1 < μ < 0) to Ohmic (μ = 0) and super-Ohmic (μ > 0) baths, respectively. And so far, some experimental implementations of the Ohmic-Like baths have been proposed in biological samples for sub-Ohmic baths48 and super-Ohmic baths25,49. Furthermore, the coherent state |ξf〉 can be calculated by the spectral density function , with υ > 0. So the initial state of the qubit-bath system can be controlled by the parameters λ and υ. For the case λ = 0 the qubit and the bath are initially uncorrelated, the dephasing rate can be obtained, ϒ0(t) = exp[−r(t)]. While for 0 < λ ≤ 1 the initial correlation exists in the qubit-bath system, one also finds, , where,
where Γ[·] is the Euler gamma function and the parameter ϑ = (μ + υ)/2.
Coherence trapping for the qubit
How to quantify quantum coherence of a quantum system now becomes paramountly important. In recent years, a wide variety of measures of coherence have been proposed50,51,52. Currently, Baumgratz, Cramer and Plenio find that the relative entropy of coherence50,
where S(ρ) is the von Neumann entropy and ρdiag denotes the state obtained from ρ by deleting all off-diagonal elements and the intuitive l1 norm of coherence,
are both general and proper measures of coherence. The relative entropy of coherence C(ρ) and the intuitive l1 norm of coherence have been chosen to measure the quantum coherence of the reduced density matrix of the qubit in the presence of qubit-bath initial correlation in Figs 1 and 2. By comparing Fig. 1 and 2, it is clear to find that these two measures can have a similar trend for coherence of the qubit by considering the same parameters of the pure dephasing model. So the analysis of coherence trapping in this report would not depend on the choice of coherence measure and in the following we mainly utilize the relative entropy of coherence C(ρ) to measure quantum coherence of the qubit.
If there is no correlation in the initial qubit-bath state, the qubit dephasing ϒ0(t) is characterized by exponential decay of the qubit coherence, hence will predict vanishing coherence in the long time limit in the Ohmic and sub-Ohmic dephasing baths12. And even if there exist finite qubit-bath correlations in the initial state, the qubit coherence can also be gradually reduced to zero in the Ohmic and sub-Ohmic dephasing baths, as shown in Fig. 1(a,b). While for the super-Ohmic baths, the qubit dephasing will stop after a finite time, therefore lead to coherence trapping. This behavior can realize the effective long-time coherence protection. In the following, we would mainly see the effect of the initially correlated qubit-bath state on coherence trapping of a qubit in the super-Ohmic bath model. The preparation of this initially correlated qubit-bath state can be obtained by non-local operations with two steps14. But these two steps would essentially require sophisticated quantum engineering and precise technics in experiment. And the initial correlations of the qubit-bath system can be controlled by the parameters cg/e, λ and the function fω.
We shall examine the decoherence process where the initially correlated qubit-bath state is in the form of Eq. (2), with . Then the initial coherence of the qubit can be evaluated , with . At time t = 0, in the case λ = 0 the dephasing rate ϒ0(0) = 1, while for the correlated initial state we can obtain 0 < ϒλ(0) < 1. From the above expression of , we find that this initial coherence of the qubit is mainly dependent of the parameters λ and v. We can find that and the initial correlation of the qubit-bath system can lead to lower initial coherence of the qubit. Furthermore, according to Eq. (3), we also specifically point out that, when the qubit-bath coupling strength α tends to zero, the dephasing rates ϒ0(t) = ϒ0(0) and ϒλ(t) = ϒλ(0) are independent of the time parameter t and the Ohmicity parameter μ. So the initial qubit coherence would not decay in this limit.
On the other hand, to clear the effect of the qubit-bath initial correlation explicitly, we also perform the calculation for the stationary value of coherence trapping in the long time limit. In Fig. 2, we show the stationary coherence C(ρ∞) between the initially uncorrelated λ = 0 and correlated λ = 1 states as a function of the bath parameters α and μ. By comparing Fig. 2(a,b), it is clear that the presence of the qubit-bath correlation in the initial state enlarges the region for occurrence of coherence trapping. Moreover, by giving the other parameters, Fig. 2(c) clearly shows that the larger correlation parameter λ leads to a more efficient coherence trapping. That is to say, the stationary coherence is higher than that obtained from the initially uncorrelated qubit-bath state. Although the lower initial coherence of the qubit can be induced by the correlation parameter λ, the coherences of the bath subsystem and the qubit-bath composite system would appear in the initial qubit-bath state correspondingly. And the larger initial qubit-bath correlation (the larger λ) can lead to the stronger non-Markovian dynamics. Then the initial coherence of the bath subsystem would be more transferred to the qubit coherence in the stronger non-Markovian dynamics. That is the main physical reason of the more efficient coherence trapping of the qubit induced by the correlated initial qubit-bath state. Additionally, from Fig. 2 we also can easily find that, the stronger coupling α of the qubit to bath diminishes the stationary coherence in the long time limit. And there exists an optimal value of the Ohmicity parameter maximizing the stationary coherence in zero temperature bath, which is independent of the coupling constant α and the correlation parameter λ, as shown in Fig. 2(c,d).
Next, by choosing the optimal value μ = 1.46 of the super-Ohmic bath, the influence of the parameters characterizing the initially correlated state on coherence trapping is depicted in Fig. 3(a). Two regions, the enhancing of coherence tapping (ECT) (i.e. ) and the no-enhancing of coherence trapping (No-ECT) (i.e. ), are acquired in the corresponding parameter planes. The dashed-white line is the dividing line between these two regions. That is to say, not all but specific initial states |ξλ〉 can lead to the enhancing coherence trapping. The range of υ to gain the enhancing of coherence trapping, would reduce as the correlation parameter λ increasing, as shown in Fig. 3(b). So we conclude that, in order to achieve the most efficient coherence in the long time limit, both the optimal Ohmicity parameter μ and the optimal state |ξλ〉 must be satisfied.
Quantum evolution speed
Since the decay of quantum coherence of the qubit would be terminated in a finite time tc, the qubit would occur coherence trapping when the evolutionary time ta > tc in the super-Ohmic bath. Then one may naturally concern the evolution speed between the initial state ρλ(0) and the stationary coherence state ρλ(tc). The quantum speed of evolution from ρλ(0) to its target state ρλ(tc) can be characterized by QSL time43,44. The definition of QSL time between an arbitrary initially mixed state ρ0 and its target state ρτ with the actual time τ, governed by the master equation , with Lt the positive generator of the dynamical semigroup, is as follows44 , here 0 < τQSL < τ and , , , denotes a metric on the space of the initial state ρ0 and the target state ρτ via the so-called relative purity and σi are the singular values of and those of the initial mixed state ρ0. The above expression of τQSL can effectually define the minimal evolution time for arbitrary initial states and also be used to assess quantum evolution speed of open quantum system.
Here, we also consider the weights in the initially correlated qubit-bath state in Eq. (2). Then the QSL time for the qubit initial state ρλ(0) to the trapped stationary coherence state ρλ(tc) with the actual time tc, can be calculated , with 0 < τQSL < tc. As we all known, the coherence trapping time tc depends on the model parameters, then the QSL time τQSL cannot be easily calculated. Here, we calculate the value of τQSL/tc to assess quantum evolution speed of the coherence trapping process. The smaller value of τQSL/tc is, the faster quantum speed of the evolution from the qubit initial state to the trapped stationary coherence state is. In order to calculate τQSL/tc, we choose a finite trapped time ta > tc, which is independent of the model parameters. When the qubit has been trapped on a stationary coherence state, there exist and in . Then we can acquire . In Fig. 4(a,b), we demonstrate how the QSL time for evolution from ρλ(0) to ρλ(tc) can depend on the parameters μ and υ, with different selected correlation parameter λ. Firstly, it is clear that the initial qubit-bath correlation can reduce the QSL time as the value of λ increasing. That is to say, the evolution from the initial coherence state to the stationary coherence state, can be speeded up by the initial correlation in the qubit-bath state. And then, another remarkable feature can be acquired: There exist the optimal Ohmicity parameter μ or the parameter υ of |ξf〉, which can induce the minimum value of τQSL/tc. And the optimal parameters μ or υ are dependent of the correlation parameter λ. In Fig. 4(a), when υ = 2, the optimal Ohmicity parameter for λ = 0, 0.3, 0.6, 0.9, respectively. By choosing μ = 1.46, as shown in Fig. 4(b), the optimal parameter for the initial bath state |ξf〉 can be obtained for λ = 0.1, 0.3, 0.6, 0.9, respectively.
Furthermore, since both the Ohmicity parameter μ and the parameter υ of |ξf〉 can bring about the minimum τQSL/tc, in the following we would seek the optimal condition (υ, μ) on the maximal evolution speed of the qubit. Figure 4(c) shows QSL time for ρλ(0) to ρλ(tc) as a function of μ and υ. By a given correlation parameter λ = 0.5, we observe that, the minimum τQSL/tc can only appear in the region (2 < υ < 5, 2 < μ < 4). And the optimal values (υ = 3.65, μ = 3.10) which lead to the minimum value , can be found by accurate numerical calculation. This can be understood that, in order to speed up the evolution speed of the qubit, the Ohmicity parameter μ and the parameter υ of |ξf〉 should be optimized. Combined with the above section about coherence trapping, the aim to make the qubit trap in a higher stationary coherence state with the maximal evolution speed, can be attained by choosing the optimal parameters of the initial qubit-bath state (λ, υ) and the bath spectral density function (μ).
Discussion
In summary, we studied intriguing features of coherence trapping of a qubit with a zero-temperature structured bath by considering the initial qubit-bath correlation. The initial qubit-bath correlation not only leads to a more efficient coherence trapping, but also speeds up the evolution for the occurrence of coherence trapping. Moreover, both the maximum stationary coherence in the long time limit and the minimum QSL time from the initial state to the stationary coherence state, can be acquired by optimizing the parameters of the initially correlated qubit-bath state and the bath spectral density. This physical mechanism leading quickly to a higher stationary coherence would play an important role for implementing quantum simulators53 and quantum information processors54. Additionally, non-Markovian effects of the bath are the main reason for the results in this report. Recently, by considering the driven dissipative systems55, non-Markovian dynamics induced by the time-dependent external fields, can support the generation of out-of-equilibrium steady state entanglement at higher temperatures, larger coupling-to-the-environment constants and lower pumping rates. So it is interesting to consider the relationship between the long-time stationary coherence and non-Markovian dynamics in the driven dissipative systems. However, it is necessary to mention that non-Markovian effects are not the only mechanism for this long-lived coherence in photosynthetic light-harvesting systems56,57. Three physical features: the small energy gap between excitonic states, the small ratio of the energy gap to the coupling between excitonic states and the effective low-temperature regime, found to be responsible for the long-live coherence in such systems, should also be considered. Finally, it is also worth pointing out that the non-Markovian effects may not monotonically cause the acceleration of the system evolution in the super-Ohmic bath, as shown in Fig. 4(a). This is clearly different from the main result in the damped Jaynes-Cummings model43, which shows that the evolution speed can be monotonically increased by non-Markovian effects. So the specific interplay between the evolution speed of the system and the bath non-Markovian effects should be studied under different circumstances. Experimentally, the coherence trapping can be demonstrated by qubit-bath systems like optics17, trapped ions58 and superconducting qubit54,59,60. And in order to acquire the maximum stationary coherence and the minimum QSL time, there also exist some methods to manipulate the Ohmicity parameter and the initial coherent state in experiment, such as crystals engineered 1D photonic-band-gap micro-cavities61 and the superconducting circuit62.
Additional Information
How to cite this article: Zhang, Y.-J. et al. Role of initial system-bath correlation on coherence trapping. Sci. Rep. 5, 13359; doi: 10.1038/srep13359 (2015).
References
Mandel, L. & Wolf, E. Optical Coherence and Quantum Optics (Cambridge University Press, Cambridge, 2008).
Vandershypen, L. M. K. & Chuang, I. L. NMR techniques for quantum control and computation. Rev. Mod. Phys. 76, 1037 (2004).
Breuer, H. P. & Petruccione, F. The Theory of Open Quantum Systems (Oxford University Press, Oxford, 2007).
Lee, H., Cheng, Y. C. & Fleming, G. R. Coherence dynamics in photosynthesis: Protein protection of excitonic coherence. Science 316, 1462 (2007).
Cederbaum, L. S., Gindensperger, E. & Burghardt, I. Short-time dynamics through conical intersections in macrosystems. Phys. Rev. Lett. 94, 113003 (2005).
Rebentrost, P. & Aspuru-Guzik, A. Communication: Exciton-phonon information flow in the energy transfer process of photosynthetic complexes. J. Chem. Phys. 134, 101103 (2011).
Tony, J. G. et al. Memory-keeping effects and forgetfulness in the dynamics of a qubit coupled to a spin chain. Phys. Rev. A 83, 032103 (2011).
Chin, A. W. et al. The role of non-equilibrium vibrational structures in electronic coherence and recoherence in pigment-protein complexes. Nat. Phys. 9, 113 (2013).
Pachón, L. A. & Brumer, P. Computational methodologies and physical insights into electronic energy transfer in photosynthetic light-harvesting complexes. Phys. Chem. Chem. Phys. 14, 10094 (2012).
Huelga, S. F., Rivas, A. & Plenio, M. B. Non-Markovianity-sssisted steady state entanglement. Phys. Rev. Lett. 108, 160402 (2012).
Pachón, L. A., Triana, J. F., Zueco, D. & Brumer, P. Uncertainty principle consequences at thermal equilibrium. arXiv: 1401.1418 (2014).
Addis, C., Brebner, G., Haikka, P. & Maniscalco, S. Coherence trapping and information backflow in dephasing qubits. Phys. Rev. A 89, 024101 (2014).
Smirne, A. et al. Experimental investigation of initial system-environment correlations via trace-distance evolution. Phys. Rev. A 84, 032112 (2011).
Dajka, J. & Łuczka, J. Distance growth of quantum states due to initial system-environment correlations. Phys. Rev. A 82, 012341 (2010).
Breuer, H. P., Laine, E. M. & Piilo, J. Measure for the degree of non-Markovian behavior of quantum processes in open systems. Phys. Rev. Lett. 103, 210401 (2009).
Rivas, A., Huelga, S. F. & Plenio, M. B. Entanglement and non-Markovianity of quantum evolutions. Phys. Rev. Lett. 105, 050403 (2010).
Liu, B. H. et al. Experimental control of the transition from Markovian to non-Markovian dynamics of open quantum systems. Nature Phys. 7, 931 (2011).
Laine, E. M., Piilo, J. & Breuer, H. P. Witness for initial system-environment correlations in open-system dynamics. Europhys. Lett. 92, 60010 (2010).
Li, C. F., Tang, J. S., Li Y. L. & Guo, G. C. Experimentally witnessing the initial correlation between an open quantum system and its environment. Phys. Rev. A 83, 064102 (2011).
Zhang, Y. J., Zou, X. B., Xia Y. J. & Guo, G. C. Different entanglement dynamical behaviors due to initial system-environment correlations. Phys. Rev. A 82, 022108 (2010).
Zhang, W. M. et al. General non-Markovian dynamics of open quantum systems. Phys. Rev. Lett. 109, 170402 (2012).
Dijkstra, A. G. & Tanimura, Y. Non-Markovian entanglement dynamics in the presence of system-bath coherence. Phys. Rev. Lett. 104, 250401 (2010).
Shabani, A. & Lidar, D. A. Vanishing quantum discord is necessary and sufficient for completely positive maps. Phys. Rev. Lett. 102, 100402 (2009).
Chaudhry, A. Z. & Gong, J. B. Role of initial system-environment correlations: A master equation approach. Phys. Rev. A 88, 052107 (2013).
Pachón, L. A. & Brumer, P. Incoherent excitation of thermally equilibrated open quantum systems. Phys. Rev. A 87, 022106 (2013).
Pachón, L. A., Yu, L. & Brumer, P. Coherent one-photon phase control in closed and open quantum systems: A general master equation approach. Faraday Discuss. 163, 485 (2013).
Pachón, L. A. & Brumer, P. Mechanisms in environmentally assisted one-photon phase control. J. Chem. Phys. 139, 164123 (2013).
Nielsen, M. & Chuang, I. Quantum Computation and Quantum Communication (Cambridge University Press, Cambridge, 2000).
Cimmarusti, A. D. et al. Control of conditional quantum beats in cavity QED: amplitude decoherence and phase shifts. New J. Phys. 15, 013017 (2013).
Hegerfeldt, G. C. Driving at the quantum speed limit: optimal control of a two-level system. Phys. Rev. Lett. 111, 260501 (2013).
Hegerfeldt, G. C. High-speed driving of a two-level system. Phys. Rev. A 90, 032110 (2014).
Mandelstam, L. & Tamm, I. The uncertainty relation between energy and time in nonrelativistic quantum mechanics. J. Phys. (USSR) 9, 249–254 (1945).
Anandan, J. & Aharonov, Y. Geometry of quantum evolution. Phys. Rev. Lett. 65, 1697–1700 (1990).
Levitin, L. B. & Toffoli, T. Fundamental limit on the rate of quantum dynamics: the unified bound is tight. Phys. Rev. Lett. 103, 160502 (2009).
Giovannetti, V., Lloyd, S. & Maccone, L. Quantum limits to dynamical evolution. Phys. Rev. A 67, 052109 (2003).
Jones, P. J. & Kok, P. Geometric derivation of the quantum speed limit. Phys. Rev. A 82, 022107 (2010).
Zwierz, M. Comment on geometric derivation of the quantum speed limit. Phys. Rev. A 86, 016101 (2012).
Deffner, S. & Lutz, E. Energy-time uncertainty relation for driven quantum systems. J. Phys. A: Math. Theor. 46 335302(2013).
Pfeifer, P. How fast can a quantum state change with time? Phys. Rev. Lett. 70, 3365 (1993).
Pfeifer, P. & Fröhlich, J. Generalized time-energy uncertainty relations and bounds on lifetimes of resonances. Rev. Mod. Phys. 67, 759 (1995).
Taddei, M. M., Escher, B. M., Davidovich, L. & de Matos Filho, R. L. Quantum speed limit for physical processes. Phys. Rev. Lett. 110, 050402 (2013).
del Campo, A., Egusquiza, I. L., Plenio, M. B. & Huelga, S. F. Quantum speed limits in open system dynamics. Phys. Rev. Lett. 110, 050403 (2013).
Deffner, S. & Lutz, E. Quantum speed limit for non-Markovian dynamics. Phys. Rev. Lett. 111, 010402 (2013).
Zhang, Y. J., Han, W., Xia, Y. J., Cao, J. P. & Fan, H. Quantum speed limit for arbitrary initial states. Sci. Rep. 4, 4890 (2014).
Xu, Z. Y., Luo, S. L., Yang, W. L., Liu, C. & Zhu, S. Q. Quantum speedup in memory environment. Phys. Rev. A 89, 012307 (2014).
Dajka, J. & Łuczka, J. Origination and survival of qudit-qudit entanglement in open systems. Phys. Rev. A 77, 062303 (2008).
Dajka, J., Mierzejewski, M. & Łuczka, J. Fidelity of asymmetric dephasing channels. Phys. Rev. A 79, 012104 (2009).
Pachón, L. A. & Brumer, P. Direct experimental determination of spectral densities of molecular complexes. J. Chem. Phys. 141, 174102 (2014).
Bendickson, J. M., Dowling, J. P. & Scalora, M. Analytic expressions for the electromagnetic mode density in finite, one-dimensional, photonic band-gap structures. Phys. Rev. E 53, 4107 (1996).
Baumgratz, T., Cramer, M. & Plenio, M. B. Quantifying coherence. Phys. Rev. Lett. 113, 140401 (2014).
Åberg, J. Catalytic coherence. Phys. Rev. Lett. 113, 150402 (2014).
Girolami, D. Observable measure of quantum coherence in finite dimensional systems. Phys. Rev. Lett. 113, 170401 (2014).
Cirac, J. I. & Zoller, P. Goals and opportunities in quantum simulation. Nat. Phys. 8, 264 (2012).
Georgescu, I. M., Ashhab, S. & Nori, F. Quantum simulation. Rev. Mod. Phys. 86, 153 (2014).
Estrada, A. F. & Pachón, L. A. Quantum limit for driven linear non-Markovian open-quantum-systems. New J. Phys. 17, 033038 (2015).
Pachón, L. A. & Brumer, P. Physical basis for long-lived electronic coherence in photosynthetic light-harvesting systems. J. Phys. Chem. Lett. 2, 2728 (2011).
Tiwari, V., Peters, W. K. & Jonas, D. M. Electronic resonance with anticorrelated pigment vibrations drives photosynthetic energy transfer outside the adiabatic framework. PNAS 110, 1203 (2013).
Barreiro, J. T. et al. An open-system quantum simulator with trapped ions. Nature 470, 486 (2011).
Forn-Diaz, P. et al. Observation of the Bloch-Siegert shift in a qubit-oscillator system in the ultrastrong coupling regime. Phys. Rev. Lett. 105, 237001 (2010).
Xie, Q. T., Cui, S., Cao, J. P., Luigi, A. & Fan, H. Anisotropic Rabi model. Phys. Rev. X 4, 021046 (2014).
Wong, C. W. et al. Strain-tunable silicon photonic band gap microcavities in optical waveguides. Appl. Phys. Lett. 84, 1242 (2004).
Schuster, D. I. et al. Resolving photon number states in a superconducting circuit. Nature 445, 515 (2007).
Acknowledgements
This work was supported by 973 program under grant No. 2010CB922904, the National Natural Science Foundation of China under grant Nos 11304179, 11247240, 11175248, 61178012, 11204156, the Specialized Research Fund for the Doctoral Program of Higher Education under grant Nos 20133705110001, 20123705120002, the Provincial Natural Science Foundation of Shandong under grant Nos ZR2012FQ024, ZR2014AP009 and the Scientific Research Foundation of Qufu Normal University.
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Y.-J.Z., W.H., Y.-J.X. and H.F. calculated and analyzed the results. Y.-M.Y. and H.F. involved in the discussion. Y.-J.Z. and H.F. co-wrote the paper. All authors reviewed the manuscript and agreed with the submission. Competing Interests The authors declare that they have no competing financial interests.
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Zhang, YJ., Han, W., Xia, YJ. et al. Role of initial system-bath correlation on coherence trapping. Sci Rep 5, 13359 (2015). https://doi.org/10.1038/srep13359
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DOI: https://doi.org/10.1038/srep13359
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