Abstract:We theoretically study the non-Markovian disentanglement dynamics of a two-qubit system coupled to nonequilibrium environments with nonstationary and non-Markovian random telegraph noise statistical properties. The reduced density matrix of the two-qubit system can be expressed as the Kraus representation in terms of the tensor products of the single qubit Kraus operators. We derive the relation between the entanglement and nonlocality of the two-qubit system which are both closely associated with the decohere… Show more
“…The non-Markovian statistics of the generalized RTN is characterized by the master equations for the multi-time probability distributions [ 60 ]: with being the memory kernel of the generalized RTN and the multi-time probability and the matrix for transition respectively written as The statistical property of the environmental noise depends on its prior history because of the fact that the memory effect has been taken into consideration. The non-stationary environmental statistical property of the generalized RTN arises from the single-point probability distribution [ 77 ]: where a is the non-stationary parameter with and denotes the auxiliary function with and representing the inverse Laplace transform. For the memoryless case, namely , then the generalized RTN returns to the Markovian one.…”
Section: Quantum Dephasing Under the Influence Of Non-equilibrium Env...mentioning
confidence: 99%
“…The statistical property of the environmental noise depends on its prior history because of the fact that the memory effect has been taken into consideration. The non-stationary environmental statistical property of the generalized RTN arises from the single-point probability distribution [77]:…”
Section: Non-equilibrium Environmental Fluctuations Described By Gene...mentioning
We performed a theoretical study of the dephasing dynamics of a quantum two-state system under the influences of a non-equilibrium fluctuating environment. The effect of the environmental non-equilibrium fluctuations on the quantum system is described by a generalized random telegraph noise (RTN) process, of which the statistical properties are both non-stationary and non-Markovian. Due to the time-homogeneous property in the master equations for the multi-time probability distribution, the decoherence factor induced by the generalized RTN with a modulatable-type memory kernel can be exactly derived by means of a closed fourth-order differential equation with respect to time. In some special limit cases, the decoherence factor recovers to the expression of the previous ones. We analyzed in detail the environmental effect of memory modulation in the dynamical dephasing in four types of dynamics regimes. The results showed that the dynamical dephasing of the quantum system and the conversion between the Markovian and non-Markovian characters in the dephasing dynamics under the influence of the generalized RTN can be effectively modulated via the environmental memory kernel.
“…The non-Markovian statistics of the generalized RTN is characterized by the master equations for the multi-time probability distributions [ 60 ]: with being the memory kernel of the generalized RTN and the multi-time probability and the matrix for transition respectively written as The statistical property of the environmental noise depends on its prior history because of the fact that the memory effect has been taken into consideration. The non-stationary environmental statistical property of the generalized RTN arises from the single-point probability distribution [ 77 ]: where a is the non-stationary parameter with and denotes the auxiliary function with and representing the inverse Laplace transform. For the memoryless case, namely , then the generalized RTN returns to the Markovian one.…”
Section: Quantum Dephasing Under the Influence Of Non-equilibrium Env...mentioning
confidence: 99%
“…The statistical property of the environmental noise depends on its prior history because of the fact that the memory effect has been taken into consideration. The non-stationary environmental statistical property of the generalized RTN arises from the single-point probability distribution [77]:…”
Section: Non-equilibrium Environmental Fluctuations Described By Gene...mentioning
We performed a theoretical study of the dephasing dynamics of a quantum two-state system under the influences of a non-equilibrium fluctuating environment. The effect of the environmental non-equilibrium fluctuations on the quantum system is described by a generalized random telegraph noise (RTN) process, of which the statistical properties are both non-stationary and non-Markovian. Due to the time-homogeneous property in the master equations for the multi-time probability distribution, the decoherence factor induced by the generalized RTN with a modulatable-type memory kernel can be exactly derived by means of a closed fourth-order differential equation with respect to time. In some special limit cases, the decoherence factor recovers to the expression of the previous ones. We analyzed in detail the environmental effect of memory modulation in the dynamical dephasing in four types of dynamics regimes. The results showed that the dynamical dephasing of the quantum system and the conversion between the Markovian and non-Markovian characters in the dephasing dynamics under the influence of the generalized RTN can be effectively modulated via the environmental memory kernel.
“…These nonequilibrium features play a critical role in decoherence, [62,63] quantum speed limits, [64] and the geometric phase of quantum systems. [65] Researchers have also explored quantum correlation dynamics in the nonequilibrium environment, [66][67][68][69][70] including control of double-sudden transitions for one-norm geometric quantum discord [66] and postponement of sudden transitions for quantum discord. [67] All these results show that nonequilibrium effects significantly influence quantum resources interconnected with QFI.…”
The impact of nonequilibrium environment effects on the accuracy of quantum parameter estimation is investigated, and it is found that these effects can significantly affect estimation accuracy. Using an individual estimation strategy reveals that the nonequilibrium effects consistently enhance accuracy, regardless of the coupling strength between the probe and its environment. In contrast, weak memory effects undermine estimation accuracy. When employing a multi‐parameter simultaneous estimation strategy, it is observed that the nonequilibrium effects consistently improve the advantages of simultaneous estimation, as analyzed by the ratio of total variances between the two estimation scenarios. However, the memory effects on these advantages depend on the coupling strength between the qubit and the environment. These findings suggest that appropriate parameters of a nonequilibrium environment can increase the quantum Fisher information (QFI), thereby enhancing the accuracy of quantum parameter estimation. These significant results are essential for improving parameter estimation accuracy in quantum systems interacting with nonequilibrium environments.
“…The analysis of bipartite entanglement may involve two qubits embedded in a common environment [35] or two independent baths [36]. One specific example involves a nonequilibrium environment [37][38][39], where one can observe non-Markovian effects that bring an increase in the amount of entanglement due to information backflows [40]. In addition, the problem of transferring quantum systems through spin chain systems have been discussed in the context of non-Markovianity [41].…”
In the article, we investigate entanglement dynamics defined by time-dependent linear generators. We consider multilevel quantum systems coupled to an environment that induces decoherence and dissipation, such that the relaxation rates depend on time. By applying the condition of partial commutativity, one can precisely describe the dynamics of selected subsystems. More specifically, we investigate the dynamics of entangled states. The concurrence is used to quantify the amount of two-qubit entanglement in the time domain. The framework appears to be an efficient tool for investigating quantum evolution of entangled states driven by time-local generators. In particular, non-Markovian effects can be included to observe the restoration of entanglement in time.
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