arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1909.11276quant-ph
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环境驱动的分子电荷量子比特解纠缠的非马尔可夫模型

Non-Markovian Models of Environmentally-driven Disentanglement in Molecular Charge Qubits

Shengyang Zhou, Enrique P. Blair

摘要:

提出了纳米级分子电荷量子比特的量子解纠缠模型。在贝尔态制备两种MCQ,$A$和$B$,并将其分离,$A$ - $B$相互作用可忽略不计。在相干系统+环境的演化过程中,局域环境和每个MCQ之间的相互作用解开了$A$ - $B$纠缠。三种模型用于动力学:(1)以前开发的数值模型,其中$AB$和环境$\mathcal{E}$都明确建模;(2)精确的半解析模型,其中仅计算$AB$的动力学;以及(3)从半解析模型和关于$\mathcal{E}$中随机性的假设开发的近似模型。在近似模型中,$AB$密度算符的非零相干性随时间的变化呈高斯衰减。这也为精确模型中的系统动态提供了时间尺度。该时间尺度与AB- $\mathcal{E}$相互作用的强度直接相关。该时间尺度描述了与一个目标MCQ的环境相互作用占主导地位的情况,概括了仅当两个MCQ与当地环境具有大致相同的相互作用强度时才适用的先前时间尺度。纠缠度的测量使用两个量子位的关联函数,其动力学被用来证明的有效性的时间尺度。相干性的早期衰减和纠缠的损失被很好地表征为高斯,这是无记忆环境的马尔可夫模型无法捕获的行为。近似高斯模型可用于描述在这里建模的环境以及存在随机性的其他环境的影响下MCQ解纠缠的动力学。

英文摘要:

Models of quantum disentanglement are developed for nanometer-scale molecular charge qubits (MCQs). Two MCQs, $A$ and $B$, are prepared in a Bell state and separated for negligible $A$-$B$ interactions. Interactions between the local environment and each MCQ unravels $A$-$B$ entanglement during coherent system+environment evolution. Three models are used for dynamics: (1) a previously-developed, numerical model, in which both $AB$ and environment $\mathcal{E}$ are modeled explicitly; (2) an exact, semi-analytic model, in which only the dynamics of $AB$ are calculated, and (3) an approximate model developed from the semi-analytic model and assumptions about randomness in $\mathcal{E}$. In the approximate model, the non-zero coherences of the density operator for $AB$ decay with a Gaussian time dependence. This provides a time scale for system dynamics in the exact models as well. This time scale is related directly to the strength of AB-$\mathcal{E}$ interaction. This time scale describes cases where environmental interaction with one target MCQ is dominant, generalizing a previous time scale applicable only when both MCQs have roughly the same strength of interaction with the local environment. Entanglement is measured using two-qubit correlation functions, the dynamics of which are used to demonstrate the effectiveness of the time scale. The early-time decay of coherences and the loss of entanglement is well-characterized as Gaussian, a behavior that Markovian models for memoryless environments cannot capture. The approximate Gaussian model may be used to describe the dynamics of MCQ disentanglement under the influence of environments modeled here, as well as other environments where randomness is present.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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