Quantum parameter estimation via dispersive measurement in circuit QED
February 26, 2017 Β· Declared Dead Β· π Quantum Information Processing
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Authors
Beili Gong, Yang Yang, Wei Cui
arXiv ID
1702.08089
Category
quant-ph: Quantum Computing
Cross-listed
cs.IT
Citations
7
Venue
Quantum Information Processing
Last Checked
5 months ago
Abstract
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.
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