混杂非马尔可夫库对海森伯XYZ自旋链模型的量子纠缠与量子稠密编码的影响  被引量:1

Effect of Non-Markovian Hybrid Bath on Quantum Entanglement and Quantum Dense Coding in Heisenberg XYZ Spin Chain Model

在线阅读下载全文

作  者:艾克拜尔·阿木提江 阿拉帕提·阿不力米提 杨帆 张金峰 艾合买提·阿不力孜[1] Akbar Hamutjan;Arapat Ablimit;Yang Fan;Zhang Jinfeng;Ahmad Abliz(School of Physics and Electronic Engineering,Xinjiang Normal University,Urumqi,Xinjiang 830054,China)

机构地区:[1]新疆师范大学物理与电子工程学院,新疆乌鲁木齐830054

出  处:《激光与光电子学进展》2022年第5期310-316,共7页Laser & Optoelectronics Progress

基  金:国家自然科学基金地区科学基金(11864042)。

摘  要:由于构成一个开放量子系统周围环境的热库里总是同时含有玻色子和费米子,用混杂库而不是单一的玻色库或费米库来描述系统的热库是比较符合实际的。利用非马尔可夫量子态扩散方法,研究了同时耦合于非马尔可夫玻色库与费米库的海森伯XYZ自旋链模型的量子纠缠和量子稠密编码信道容量的动力学演化特性,并与单一非马尔可夫库中的情况进行比较。数值模拟结果显示,与单一非马尔可夫库相比,与一个混杂非马尔可夫库耦合的海森伯自旋链模型显示出更高的纠缠度、更优的量子稠密编码以及更长的弛豫时间。这说明在提高量子纠缠、优化量子稠密编码方面,混杂非马尔可夫库比单一非马尔可夫库更有优势。Because a heat bath forming the surrounding environment of an open quantum system always contains Bosons and Fermions at the same time,it is more practical to describe the heat bath using a mixed bath rather than a single Bosonic or Fermionic bath.The dynamical evolution properties of the quantum entanglement and quantum dense encoding channel capacity of the Heisenberg XYZ spin chain model coupled with a non-Markovian Bosonic bath and Fermionic bath simultaneously were studied and compared with a non-Markovian single bath using the nonMarkovian quantum state diffusion method.The numerical simulation results show that compared with a nonMarkovian single bath,the Heisenberg spin chain model coupled with the non-Markovian hybrid bath has higher entanglement,better quantum dense coding,and a longer relaxation time.These results show that the nonMarkovian hybrid bath has more advantages than the non-Markovian single bath.A system in the non-Markovian hybrid bath improved quantum entanglement and optimized quantum dense coding.

关 键 词:量子光学 混杂非马尔可夫库 环境记忆效应 量子纠缠 量子稠密编码 量子态扩散方法 

分 类 号:O431.2[机械工程—光学工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象