| 講演抄録／キーワード |
| 講演名 |
2022-12-08 14:00
［ポスター講演］QestOptPOVM: Numerical search for finding an optimal POVM for multiparameter estimation
○Jianchao Zhang・Jun Suzuki（UEC） |
| 抄録 |
（和） |
It is of fundamental question to find an optimal measurement (POVM) that extracts the most information available about the parameter encoded in a quantum state. This problem remains unsolved due to non-trivial optimization. In this paper, we propose an algorithm, QestOptPOVM, in searching for the optimal POVM based on the gradient descent method. We focus on one special optimality condition of the measurements, so called the A-optimality. The questions of finding the optimal measurements and the minimal number of POVM elements are both studied. One specific two-parameter qubit model is tested in the i.i.d. extension setting to show the efficiency and accuracy of the proposed algorithm. |
| （英） |
It is of fundamental question to find an optimal measurement (POVM) that extracts the most information available about the parameter encoded in a quantum state. This problem remains unsolved due to non-trivial optimization. In this paper, we propose an algorithm, QestOptPOVM, in searching for the optimal POVM based on the gradient descent method. We focus on one special optimality condition of the measurements, so called the A-optimality. The questions of finding the optimal measurements and the minimal number of POVM elements are both studied. One specific two-parameter qubit model is tested in the i.i.d. extension setting to show the efficiency and accuracy of the proposed algorithm. |
| キーワード |
（和） |
Quantum parameter estimation / gradient descent / optimal POVM / / / / / |
| （英） |
Quantum parameter estimation / gradient descent / optimal POVM / / / / / |
| 文献情報 |
信学技報 |
| 資料番号 |
|
| 発行日 |
|
| ISSN |
|
| PDFダウンロード |
|