Exact decoherence dynamics of noise
In this paper, we investigate the exact decoherence dynamics of a superconducting resonator coupled to an electromagnetic reservoir characterized by the noise at finite temperature, where a full quantum description of the environment with noise (with ) is presented. The exact master equation and the associated nonequilibrium Green’s functions are solved exactly for such an open system. We show a clear signal of non-Markovian dynamics induced purely by noise. Our analysis is also applicable to another nano/micro mechanical oscillators. Finally, we demonstrate the non-Markovian decoherence dynamics of photon number superposition states using Wigner distribution that could be measured in experiments.
pacs:03.65.Yz, 03.67.Pp, 42.50.Lc, 03.65.Ta
Low frequency noise sprectrum was discovered in vacuum tubes and later observed in a variety of systems systems1 (); systems2 (); systems3 (); systems4 (). In electronics, this type of noise is commonly referred to as noise. Miniaturization of any material system in nanometer-scale devices can further increase noise levels and complicate practical applications mini (); balandin (). The sensitivity of amplifiers and transducers used in many types of sensor, particularly those that rely on an electrical response, is ultimately limited by the low-frequency noise level sensor1 (); sensor2 (). The importance of noise in electronics has motivated various studies of its physical mechanisms and the development of a variety of methods for its reduction balandin (). Different physical origin of fluctuation processes can be responsible for the noise in different materials and devices rmp1 (); rmp2 (); rmp3 ().
In almost all quantum computing nanodevices, noise is found to be detrimental to the required maintenance of quantum coherent dynamics. In the last two decades, several experiments with single electron transistors (SETs) SETn1 (); SETn2 (); SETn3 (); SETn4 (); SETn5 () and superconducting circuits SC1 (); SC2 (); SC3 (); SC4 (); SC5 (); Nori1 (); Nori2 () at low temperatures revealed low-frequency noise with a spectrum that scales inversely with frequency (). The models and experimental observations fAlpha1 (); fAlpha2 (); fAlpha3 (); fAlpha4 (); fAlpha5 (); paris1 (); paris2 () suggest that the proper scaling of this low frequency noise should be where may differ slightly from unity. We will investigate the exact decoherence dynamics of a superconducting resonator in presence of this noise with varying values of , including the situation under noise where . Our analysis is also applicable to other nanomechanical oscillators. Superconducting resonators and nano/micro mechanical oscillators have achieved sufficiently high frequencies (GHz range), and work at very low temperature (mK range), in which nonclassical photon states can be rather easily generated nonclass1 (); nonclass2 (); nonclass3 (). Recently, noise is measured both in superconducting resonator resonator1 (); resonator2 () as well as in the mechanical oscillator oscillator1 (); oscillator2 ().
Usually, in the literature on 1/f noise, the environment is treated classically as a random field describing a stochastic process fAlpha2 (); fAlpha3 (); fAlpha4 (); fAlpha5 (); paris1 (); paris2 (). We investigate in this paper the exact decoherence dynamics of a superconducting resonator coupled to an electromagnetic reservoir characterized by the frequency noise, where a full quantum description of the environment with noise is presented. We also describe the decoherence dynamics of nonclassical photon states of the resonator through the evolution of Wigner distribution function. The paper is organized as follows. In Sec. II, we briefly discuss our model and the method we used. The noise power spectrum is explored in Sec. III in the exact formalism of the nonequilibrium Green’s functions. In Sec. IV, we present our numerical results on the exact decoherence dynamics of noise at finite temperature through the exact solution of of the master equation associated with the nonequilibrium Green’s functions. Using Wigner distribution, we demonstrate in Sec. V the exact decoherence dynamics of superposition of photon number states under noise with different values of . Finally, a conclusion is given in Sec. VI.
Ii The model and the exact master equation
We consider a superconducting or a nanomechanical resonator coupled to an electromagnetic reservoir, the Hamiltonian of the total system can be written as
where the first term is the Hamiltonian of the single-mode resonator with frequency , and and are the creation and annihilation operators of the resonator quanta; the second term is the Hamiltonian of a general electromagnetic reservoir, as a collection of infinite photon or phonon modes, where and are the corresponding creation and annihilation operators of the -th photon or phonon mode with frequency . The third term is the system-reservoir coupling which characterizes photon scattering processes with the scattering amplitude between the resonator and the -th reservoir mode. The nonlinear photonic processes have been ignored in Eq. (1) because the noise spectrum only occurs in the very weak-coupling regime between the systems and its environment, as we will show in Sec. III.
We shall use the exact master equation method to describe the decoherence dynamics of the resonator under the influence of the noise. The master equation is given in terms of the reduced density operator, obtained from the density operator of the total system by tracing over the environmental degrees of freedom . The total density operator is governed by the quantum evolution operator: . As it was originally proposed by Feynman and Vernon influence1 (); influence2 (); influence3 (); influence4 (), we take the initial state of the total system as a directly product of an arbitrary initial state of the system with the thermal state of the reservoir, , where . In this case, tracing over all the environmental degrees of freedom can be easily carried out using the Feynman-Vernon influence functional approach influence1 (); influence2 () in the framework of coherent-state path-integral representation Zhang90 (); annphys (). The resulting master equation for the reduced density operator has the following form annphys ():
where the time-dependent coefficient is the renormalized frequency of the resonator, while and describe the dissipation (damping) and fluctuation (noise) of the resonator due to its coupling to the reservoir. These coefficients can be exactly determined by the following relations annphys (); bosonic1a (); bosonic1b (); bosonic2 ()
The function is the nonequilibrium propagating (or spectral) Green’s function of the system, which satisfies the Dyson equation of motion
subject to the initial condition . The nonequilibrium thermal fluctuation is characterised by the correlation function through the nonequilibrium fluctuation-dissipation theorem general (), which is given explicitely by
which characterize all the non-Markovian back-action memory effects between the system and the reservoir, where is the spectral density, and is the coupling between the system and the reservoir. Furthermore, is the particle number distribution of the bosonic reservoir at the initial temperature . If the reservoir spectrum is continuous, , we have where is the density of state of the reservoir.
Iii Quantum description of Noise spectrum
In the literature on 1/f noise, the environment is treated classically fAlpha2 (); fAlpha3 (); fAlpha4 (); fAlpha5 (); paris1 (); paris2 () with a classical random field describing a stochastic process. The system-environment coupling is described by a term , and is a system operator. Then the system Hamiltonian becomes stochastic due to the random nature of the classical random field which can take different form corresponding to different kinds of classical noise. A typical classical noise source is the random telegraphic noise (RTN) which is used to classically model an environment for solid-state devices rmp3 (); paris1 (); paris2 () (and references therein), where the system is considered to be interacting with a bistable fluctuator for which the time-dependent parameter randomly flipping between two values with a switching rate . The Hamiltonian with such a noise source describeing a system subject to a random telegraph noise is usually used as a basic building block to describe noises of the type , and is characterized by an exponentially decaying correlation function of the fluctuating quantity . Then the noise spectrum is a Lorentzian function
To reproduce the spectrum, the single RTN frequency power spectrum is then integrated over the switching rates with a suitable probability distribution:
The integration is generally performed between a minimum and a maximum value of the switching rates, and respectively. In order to simulate noise spectrum, the switching rate distribution is considered to be proportional to . When the integration in Eq.(9) is performed, the spectrum shows behavior in a frequency interval, so that all frequencies belonging to such an interval satisfies the condition . Although this low and high frequency cutoff frequencies are artificially fixed in the literature SC1 (); SC2 (); SC3 (); SC5 (); Cutoff1 (), the physical origin of the cutoff frequencies are debatable Cutoff2 (). Another crucial point is that the classical environment with the noise spectrum can be realized by different configuration of bistable fluctuators. Noise spectrum can be obtained either considering a single bistable fluctuator whose switching rate is randomly chosen from a distribution as shown above. The same spectrum can also be realized from the coupling of a system with a large number of fluctuators, where the noise spectrum can be obtained as a result of linear combination of many Lorentzian, each characterized by a specific switching rate rmp3 (); paris1 (); paris2 (). As already pointed out in several papers paris1 (); nine1 (); nine2 (); nine3 (); nine4 (), different microscopic configuration of the environment leading to the same spectra may correspond to different physical phenomena. Thus, mere knowledge of the noise spectrum is not sufficient to describe the environmental influence on the quantum dynamics of open systems and it is necessary to specify the model for the noise source in more detail.
In the previous section, we have presented a full quantum-mechanical description of the system-environment coupling for a superconducting resonator coupled to an electromagnetic reservoir. Before we explore the decoherence dynamics of a superconducting resonator or a nanomechanical resonator, induced by the noise, it is important to justify the conditions for the occurrence of noise in a given electromagnetic reservoir characterized by the spectral density . In the literature, the spectral density for an electromagnetic reservoir is found to be Ohmic-type influence3 (), given by
with . It has been pointed out schon () that the noise spectrum corresponds to the special case of the spectral density (10) with or . However, the exact connection of with the noise spectrum has not been carried out so far in the literature. Here, within the exact master equation formalism, we find that the exact solutions of the nonequilibrium Green’s functions and carry all the information on the quantum nature of the noise spectrum .
Specifically, the noise spectrum of the system is quantum mechanically defined by the Fourier transform of the two-time particle correlation function:
As we have shown recently annphys (), the two-time particle correlation function obeys the following relation in our exact master equation formalism,
where and , which are the real and imaginary parts of the self-energy correction, , to the resonator, induced by the coupling between the resonator and the environment,
The first term in Eq. (LABEL:ut) is the contribution of the dissipationless localized mode, where the localized mode frequency is determined by , and corresponds to the residue of at the pole , which gives the amplitude of the localized mode.
Using the exact solution of Eq.(LABEL:ut) and the relation (LABEL:vtwo), we find that the noise spectrum is given by
where and are the contributions of the particle correlations from the system and the environment respectively to the noise spectrum, due to the coupling between them. Now, can have a power series expansion with Legendre polynomials as
where , and . We should only take the low-frequency limits and , in order to see the low frequency behavior of the noise spectrum. Through a numerical check, see figure 1(a), we find that for and , one has and . Meanwhile, when the coupling between the system and the environment , the localized mode amplitude () becomes negligibly small, and therefore it does not play any role for low frequency behavior of the noise spectrum. Thus the noise spectrum is reduced to
where . For , Eq.(17) gives the exact noise spectrum. Generally, the low frequency noise () dominates when or in the very weak coupling regime between the system and its reservoir. In figure 1(a), we show the range of and where the low frequency noise spectrum behaves as power law. For , the noise behavior shows up in the low frequency domain where the coupling strength must be sufficiently weak. We also plot in figure 1(b) the noise spectrum for with different values of . Different behaviors are displayed.
The above noise power spectrum, calculated analytically and exactly through the Fourier transform of the two-time particle correlation function (11), provides a fully quantum mechanical description of the noise. This quantum mechanical description of the noise shows that it valids in a very narrow range of and when both the frequency and the coupling strengths are very small, in comparison with the energy scale of the system.
Iv Decoherence dynamics under noise
Now we shall study the exact decoherence dynamics induced by noise under the condition and , and the dimensionless coupling strength is sufficiently weak. We start with the noise with , and gradually increase it to , and , to examine the change of dissipation and fluctuation dynamics of the resonator when the noise spectrum approaches to . Dissipation and fluctuation dynamics through the exact solution of and are presented in Figure 2 for noise (10) with and , respectively, corresponding to the four different curves in each graph. It shows how dissipation and fluctuation change as the reservoir spectra approach to low-frequency-dominated regime. One can see that for very weak coupling (), the particle propagating function has similar damping dynamics (monotonous decay) with different values, see figure 2(a). We see similar decay dynamics for (without having any non-Markovian effect) even if we increase the coupling strength to with changing values, see figure 2(b). Figures 2(c) and (d) show thermal fluctuations in terms of the correlation Green’s function . The correlation Green’s function quantifies physically the thermal-fluctuation-induced average particle number inside the resonator, reflecting the noise effect of the decoherence dynamics. Figure 2(c) shows that the decoherence dynamics is significantly different for spectrum (), as the oscillations of is very strong, compared to other (with ) at weak coupling (). This is the signal of a non-Markovian decoherence dynamics purely induced by the noise effect. Physically this can be seen from Eq. (7) that the initial particle distribution function induces explicitly frequency dependence to the memory kernel , and in particular, this frequency dependence becomes stronger in the low frequency regime . This distinct oscillatory feature of persists even at higher coupling strength (), although it has a long time decay behavior, see figure 2(d). In conclusion, we show here, for the first time, the physical mechanism of non-Markovian dynamics induced by noise even though the system-environment coupling is very small.
With the above exact solution of the dissipation and fluctuation dynamics, we now present the dissipation and fluctuation coefficients in the master equation, and , which manifests quantitatively the decoherence behavior of noise. Figures 3(a) and (b) show the time evolution of the dissipation coefficient for different noise with and at two different values of the coupling strengths, and , partnered to the solutions in figures 2(a) and (b). In the very weak coupling region (), including the noise, we see from figure 3(a) that the dissipation coefficient , which indicates that the corresponding dissipation solution is always Markovian PRL10a (); PRL10b (). A similar behavior of with increased magnitude is seen when the coupling strength is increased ( for figure 3(b)). However, the fluctuation coefficient is very sensitive to the noise spectrum and it behaves qualitatively different from the dissipation coefficient in the weak-coupling regime, in particular, in the noise regime. As one can see from figure 3(c), oscillates between positive and negative values resulting to a non-Markovian memory effect. This positive and negative bounded value is significantly larger in case of noise spectrum (), compared to other spectrums with smaller values of . The distinct oscillatory feature of persists even at higher coupling strength (), with a long time decay behavior, see figure 3(d). The presence of this persistent oscillation between positive and negative values in fluctuation coefficient but not in the dissipation coefficient , shows the evidence for strong non-Markovian dynamics, associated with the noise, as we have just pointed out in the analysis of the correlation Green’s function . The decoherence dynamics of the resonator is very sensitive to the temperature for spectrum. To show the effect of temperature dependence on the decoherence dynamics, we plot the non-equilibrium thermal fluctuation and the fluctuation coefficient in figure 4 for spectrum with at various temperatures mK, K, and K, respectively. It shows that the magnitude of both and becomes significant with the rising temperature even if the system-reservoir coupling is very small (). This temperature dependence comes through the particle number distribution in Eq.(7), as purely a noise effect.
V Decoherence dynamics of the resonator under noise using Wigner distribution
Next, we explore the decoherence dynamics of quantum photon states under the noise by examining the evolution of the corresponding Wigner function. With the help of the exact master equation (II), the exact Wigner function of an arbitrary quantum state at arbitrary time in the complex space is given by
We investigate the damping and decoherence dynamics of the resonator in the presence of low frequency noise at a finite temperature. We see the effect of changing values of on the dynamics of the resonator which is prepared initially in a superposition of Fock states. If the resonator is initially prepared in a photon number superposition state with . The time evolved Wigner function in this case is given by
where is the time evolved Wigner function for the initial vacuum state, and
The decoherence dynamics of the superposition state can be examined through the time evolution of its Wigner function, given by
where is the same as with being replaced by . In figure 5, the time dependent snapshots of the Wigner functions are shown at four different times: . Figure 5(a) describes the decoherence dynamics of the resonator in the presence of the low frequency noise with at a finite temperature K, and the resonator is initially prepared in a superposition state . The interference pattern consisting of three positive and three negative peaks are caused by the superposition between the states and . As time evolves, the off-diagonal elements of the density matrix decays with time and the positive and negative peaks disappear. In figure 5(b), we plot the time evolution of the Wigner function for the same superposition state in presence of the noise with . We see distinct decoherence dynamics for the resonator initial state under noise with different “” values, where the decoherence rate is much faster for . Next, we plot (figures 5(c) and (d)) the decoherence dynamics of the resonator state , where the Wigner distribution functions show different decay dynamics of the interference fringe pattern due to the low frequency noise (with and ) of the bosonic reservoir at finite temperature K. Faster decoherence dynamics is again observed as we increase the value of the noise spectrum.
In conclusion, the exact decoherence dynamics of a quantum resonator coupled to a low frequency bosonic reservoir is explored. The noise power spectrum is calculated analytically and exactly using the exact solutions of the nonequilibrium Green’s functions. It is found that the power law behavior of the noise spectrum is valid for a very narrow range of and when both the frequency and the coupling strengths are very small, in comparison with the energy scale of the system. The non-Markovian dynamics of the resonator in the weak coupling regime is produced by the noise effect. The correlation Green’s function and hence the fluctuation coefficient shows a long-time non-Markovian oscillatory behavior which is qualitatively different from the Markovian dissipation dynamics described by the propagating Green’s function and the dissipation coefficient in the ultra-weak coupling regime, in particular, in the regime. We have shown through the exact master equation the evolution of a number of nonclassical photon states of the resonator in the presence of noise, where the finite temperature effect of the bosonic reservoir is also examined. The faster decoherence behavior due to the noise is demonstrated by increasing the value. Our analysis is also applicable to another nano/micro mechanical oscillators, and we believe that the results presented here can enhance the understanding of non-Markovian decoherence dynamics for many solid state quantum devices in the very weak system-reservoir coupling regime, when the noise is dominated.
Acknowledgements.This work is supported by the National Science Council of ROC under Contract No. NSC-102-2112-M-006-016-MY3 and The National Center for Theoretical Sciences. It is also supported in part by the Headquarters of University Advancement at the National Cheng Kung University, which is sponsored by the Ministry of Education, Taiwan, ROC.
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