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arXiv 1102.3700quant-phcond-mat.mes-hall
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基于固定基自适应测量的量子比特哈密顿量表征

Characterization of a qubit Hamiltonian using adaptive measurements in a fixed basis

Alexandr Sergeevich, Anushya Chandran, Joshua Combes, Stephen D. Bartlett, Howard M. Wiseman

摘要:

我们研究了在固定基上重复测量的二能级系统的哈密顿参数估计方案。最简单的(基于傅立叶的)方案产生具有均方误差(MSE)的估计,该均方误差(MSE)在测量次数N中最多以幂律~N^{-2}减小。相比之下,我们提出的数值模拟表明,自适应贝叶斯算法,其中测量之间的时间可以根据先前的测量结果进行调整,产生的MSE似乎规模接近\exp(-0.3 N)。也就是说,在单个固定基中的测量足以实现N的指数缩放。

英文摘要:

We investigate schemes for Hamiltonian parameter estimation of a two-level system using repeated measurements in a fixed basis. The simplest (Fourier based) schemes yield an estimate with a mean square error (MSE) that decreases at best as a power law ~N^{-2} in the number of measurements N. By contrast, we present numerical simulations indicating that an adaptive Bayesian algorithm, where the time between measurements can be adjusted based on prior measurement results, yields a MSE which appears to scale close to \exp(-0.3 N). That is, measurements in a single fixed basis are sufficient to achieve exponential scaling in N.

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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