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Protecting coherence of a single quantum dot system via non-Markovian coherent feedback

Shibei Xue, Re-Bing Wu, Michael Hush, Tzyh‐Jong Tarn

Published Dec 2, 2015• 0 citations
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Abstract

This paper presents a non-Markovian coherent feedback control scheme for stabilizing a single quantum dot system. The feedback loop is closed via quantum tunneling process between the natural source and drain baths of the quantum dot. The exact feedback-controlled non-Markovian Langevin equation is derived to describe the dynamics of the quantum dot. Since the memory function in the Langevin equation is a nonlinear function of the feedback coupling strength, a method named root locus of the Green's function is presented to analyze the non-Markovian dynamics in the frequency domain. This method graphically reveals the mechanism of decoherence suppression induced by non-Markovian coherent feedback, which is verified by an example of single quantum dot systems.

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arXiv:1004.4659•Apr 26, 2010•1 citation
This paper presents a non-Markovian coherent feedback control scheme for stabilizing a single quantum dot system. The feedback loop is closed via quantum tunneling process between the natural source and drain baths of the quantum dot. The exact feedback-controlled non-Markovian Langevin equation is derived to describe the dynamics of the quantum dot. Since the memory function in the Langevin equation is a nonlinear function of the feedback coupling strength, a method named root locus of the Green's function is presented to analyze the non-Markovian dynamics in the frequency domain. This method graphically reveals the mechanism of decoherence suppression induced by non-Markovian coherent feedback, which is verified by an example of single quantum dot systems.
Abstract In this paper we present a non-Markovian coherent feedback scheme for decoherence suppression in single quantum dot systems. The feedback loop is closed via a quantum tunnelling junction between the natural source and drain baths of the quantum dot. The exact feedback-controlled non-Markovian Langevin equation is derived for describing the dynamics of the quantum dot. To deal with the nonlinear memory function in the Langevin equation, we analyse the Green’s function-based root locus, from which we show that the decoherence of the quantum dot can be suppressed via increasing the feedback coupling strength. The effectiveness of decoherence suppression induced by non-Markovian coherent feedback is demonstrated by a single quantum dot example bathed with Lorentzian noises.
This paper explores the control of non-Markovian systems via coherent quantum feedback. In the spirit of classical control theory that is widely used in engineering, we acquire completely new insights in the closed-loop design from the frequency domain point of view, which appears missing in quantum control theory. Based on the non-Markovian Langevin equation for the closed-loop quantum dynamics, it is found that, in contrast to the existing time-domain design methods, the frequency domain analysis is more natural on the memory kernel function, which can be reshaped by feedback to suppress the non-Markovian decoherence. For illustration, we consider the case that the coupling strength in the feedback loop is constant. The analysis shows that the coherent feedback shifts the two components in the original noise spectral function towards two opposite directions, thereby makes it possible to suppress the noise near the system's working frequency. When the system to be controlled is Markovian, this simple scheme needs to be replaced by more careful design due to the flatness of the noise spectrum. As an example, the effectiveness of our scheme is demonstrated in photonic crystal systems.
In this paper, we present a coherent feedback control scheme for non-Markovian bosonic systems, in which an engineered quantum control field is introduced to couple both the system and the noise bath. The closed-loop dynamics of the system is described by an exact non-Markovian quantum Langevin equation, where the spectral density functions of the noise and the quantum control field, as well as their coupling, are combined into a single memory kernel function. We show that the coupling between the quantum control field with the noise bath can be used as a feedback control to modulate the memory kernel function. As a result, the noise bath can be driven out of resonance with the system and the decoherence can be efficiently suppressed. The effectiveness of the controllability is demonstrated with a photonic circuit in photonic crystals.
In this article, we report the recent progress on decoherence dynamics of electrons in quantum dot quantum computing systems using the exact master equation we derived recently based on the Feynman–Vernon influence functional approach. The exact master equation is valid for general nanostructure systems coupled to multi-reservoirs with arbitrary spectral densities, temperatures and biases. We take the double quantum dot charge qubit system as a specific example, and discuss in details the decoherence dynamics of the charge qubit under coherence controls. The decoherence dynamics risen from the entanglement between the system and the environment is mainly non-Markovian. We further discuss the decoherence of the double-dot charge qubit induced by quantum point contact (QPC) measurement where the master equation is re-derived using the Keldysh non-equilibrium Green function technique due to the non-linear coupling between the charge qubit and the QPC. The non-Markovian decoherence dynamics in the measurement processes is extensively discussed as well.
Quantum dots are nanometer-scale semiconductor particles that exhibit size-dependent quantum mechanical properties. In this work, we investigate the dynamics of quantum correlations, quantified by the concurrence and the quantum coherence, in a bipartite system of coupled double quantum dots. The analysis is carried out within both Markovian and non-Markovian regimes, and further extended to different noisy quantum channels, including amplitude damping, phase flip, and phase damping. Our results show that environmental memory plays a crucial role in the preservation of quantum correlations, leading to oscillatory behavior and partial revivals in the non-Markovian regime, in contrast to the monotonic decay observed under Markovian dynamics. Moreover, distinct decoherence mechanisms induce qualitatively different effects: dissipative channels rapidly suppress correlations, while phase-based channels lead to either redistribution or gradual degradation. A key finding is that quantum coherence exhibits a higher robustness compared to entanglement under all considered conditions, highlighting its relevance as a reliable quantum resource in noisy environments. These results provide valuable insights into the control and protection of quantum correlations in realistic solid-state systems.
The problem of optimal control of non-Markovian open quantum system via weak measurement is presented. Based on the non-Markovian master equation, we evaluate exactly the non-Markovian effect on the dynamics of the system of interest interacting with a dissipative reservoir. We find that the non-Markovian reservoir has dual effects on the system: dissipation and backaction. The dissipation exhausts the coherence of the quantum system, whereas the backaction revives it. Moreover, we design the control Hamiltonian with the control laws attained by the stochastic optimal control and the corresponding optimal principle. At last, we considered the exact decoherence dynamics of a qubit in a dissipative reservoir composed of harmonic oscillators, and demonstrated the effectiveness of our optimal control strategy. Simulation results showed that the coherence will completely lost in the absence of control neither in non-Markovian nor Markovian system. However, the optimal feedback control steers it to a stationary stochastic process which fluctuates around the target. In this case the decoherence can be controlled effectively, which indicates that the engineered artificial reservoirs with optimal feedback control may be designed to protect the quantum coherence in quantum information and quantum computation.