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arXiv 0902.3434quant-ph
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基于噪声数据贝叶斯分析的双量子比特哈密顿层析

Two-Qubit Hamiltonian Tomography by Bayesian Analysis of Noisy Data

S. G. Schirmer, D. K. L. Oi

摘要:

我们提出了一个经验策略,以确定一个两个量子比特系统的哈密顿动力学只使用初始化和测量在一个单一的固定的基础。使用贝叶斯方法从测量数据估计信号参数,从该方法重建基础哈密顿量,最多三个不可观测的相位因子。我们扩展的方法,通过多步方法实现完全控制的哈密顿层析成像的可控系统。通过分析包括投影噪声在内的模拟实验数据,对该技术进行了演示和评估。

英文摘要:

We present an empirical strategy to determine the Hamiltonian dynamics of a two-qubit system using only initialization and measurement in a single fixed basis. Signal parameters are estimated from measurement data using Bayesian methods from which the underlying Hamiltonian is reconstructed, up to three unobservable phase factors. We extend the method to achieve full control Hamiltonian tomography for controllable systems via a multi-step approach. The technique is demonstrated and evaluated by analyzing data from simulated experiments including projection noise.

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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