arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1702.08089quant-phcs.ITmath.IT
收藏

电路QED中色散测量的量子参数估计

Quantum parameter estimation via dispersive measurement in circuit QED

Beili Gong, Yang Yang, Wei Cui

摘要:

研究了电路量子电动力学中的量子参数估计问题。基于Metropolis Hastings(MH)算法和Markov chain Monte Carlo(MCMC)积分,提出了一种新的由未知参数估计的随机主方程计算Fisher信息的算法。这里,Fisher信息以对数似然函数的形式表示,并进一步由MCMC积分近似。数值结果表明,Fisher信息的单次演化可以逼近量子费舍尔信息.在短时间内的系综演化中也观察到了同样的现象。这些结果证明了该算法的有效性。

英文摘要:

We investigate the quantum parameter estimation in circuit quantum electrodynamics via dispersive measurement. Based on the Metropolis Hastings (MH) algorithm and the Markov chain Monte Carlo (MCMC) integration, a new algorithm is proposed to calculate the Fisher information by the stochastic master equation for unknown parameter estimation. Here, the Fisher information is expressed in the form of log-likehood functions and further approximated by the MCMC integration. Numerical results demonstrate that the single evolution of the Fisher information can probably approach the quantum Fisher information. The same phenomenon is observed in the ensemble evolution in the short time interval. These results demonstrate the effectiveness of the proposed algorithm.

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。

↑