Wu, Q.-C., Fang, Y.-L., Zhou, Y.-H., Zhao, J.-L., Kang, Y.-H., Su, Q.-P., & Yang, C.-P. (2024). Efficient symmetric and asymmetric Bell-state transfers in a dissipative Jaynes-Cummings model. arXiv preprint arXiv:2411.10812.
This study investigates the feasibility of achieving efficient symmetric and asymmetric Bell-state transfers in a dissipative Jaynes-Cummings model by modulating system parameters and considering both atomic spontaneous emission and cavity decay.
The researchers theoretically analyze a dissipative Jaynes-Cummings model, focusing on the eigenenergy spectrum and its dependence on system parameters like coupling strength, decay rates, and frequency detuning. They design specific time-evolution trajectories for these parameters to encircle or approach exceptional points (EPs) and approximate EPs (AEPs) in the parameter space. By numerically solving the time-dependent Schrödinger equation, they evaluate the fidelity of Bell-state transfer under different initial states and encircling directions.
This research presents a novel approach for manipulating entangled states with both symmetric and asymmetric characteristics through dissipation engineering in non-Hermitian systems. It highlights the potential of utilizing AEPs for achieving chiral dynamics, offering a less restrictive alternative to conventional EP-based approaches.
This work contributes significantly to the field of quantum state engineering, particularly in the context of entangled state manipulation for quantum information processing. It provides a practical framework for realizing robust and efficient Bell-state transfer protocols in realistic dissipative environments.
While the study focuses on a specific theoretical model, experimental implementations may encounter challenges related to precise parameter control and noise mitigation. Further research could explore the generalization of these findings to more complex multi-mode entangled states and investigate their robustness against experimental imperfections.
To Another Language
from source content
arxiv.org
Key Insights Distilled From
by Qi-Cheng Wu,... at arxiv.org 11-19-2024
https://arxiv.org/pdf/2411.10812.pdfDeeper Inquiries