1 citations · 1 across the 5 of their papers we have counts for
5 papers
Bayesian Gill-Massar Bound: An Attainable Lower Bound for Qubit Parameter Estimation
Ke-Han Zhao, Koichi Yamagata, Jun Suzuki
We study lower bounds for Bayesian quantum parameter estimation, with a particular focus on qubit models. While several lower bounds on the Bayes risk have been proposed, including…
Bayesian Monotone Metrics for Multiparameter Quantum Estimation
Jianchao Zhang, Koichi Yamagata, Jun Suzuki
Bayesian quantum estimation offers a finite-data framework for quantum sensing and metrology, yet a unified geometric formulation for multiparameter Bayes risk has been lacking. We…
Hybrid Cramér-Rao bound for Quantum Bayes-Point Estimation with Nuisance Parameters
Jianchao Zhang, Jun Suzuki
We develop a hybrid framework for quantum parameter estimation in the presence of nuisance parameters. In this Bayes-point scheme, the parameters of interest are treated as fixed n…
Bayesian Logarithmic Derivative Type Lower Bounds for Quantum Estimation
Jianchao Zhang, Jun Suzuki
Bayesian approach for quantum parameter estimation has gained a renewed interest from practical applications of quantum estimation theory. Recently, a lower bound, called the Bayes…
QestOptPOVM: An iterative algorithm to find optimal measurements for quantum parameter estimation
Jianchao Zhang, Jun Suzuki
Quantum parameter estimation holds significant promise for achieving high precision through the utilization of the most informative measurements. While various lower bounds have be…