Entanglement and Quantum Coherence in Coupled Double Quantum Dots under Markovian and Non-Markovian Noisy Channels

TL;DR

This study examines how environmental memory affects quantum correlations and coherence in coupled double quantum dots under various noisy channels, revealing that coherence is more robust than entanglement.

Contribution

It demonstrates the impact of Markovian and non-Markovian noise on quantum correlations and highlights the greater resilience of quantum coherence in noisy environments.

Findings

Non-Markovian regimes show oscillatory correlation behavior and revivals.

Quantum coherence is more robust than entanglement across all noise types.

Different decoherence channels have distinct effects on quantum correlations.

Abstract

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.