KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Steerability detection of an arbitrary two-qubit state via machine learning | |
Ren, Changliang1,2 ; Chen, Changbo3
| |
| 2019-08-12 | |
| 摘要 | Quantum steering is an important nonclassical resource for quantum information processing. However, even though lots of steering criteria exist, it is still very difficult to efficiently determine whether an arbitrary two-qubit state shared by Alice and Bob is steerable or not, because the optimal measurement directions of Alice are unknown. In this work, we provide an efficient quantum steering detection scheme for an arbitrary two-qubit state with the help of machine learning, where Alice and Bob only need to measure in a few fixed measurement directions. In order to prove the validity of this method, we first realize a high-performance quantum steering classifier with the whole information. Furthermore, a high-performance quantum steering classifier with partial information is realized, where Alice and Bob only need to measure in three fixed measurement directions. Our method outperforms the existing methods in generic cases in terms of both speed and accuracy, opening up the avenues to explore quantum steering via the machine learning approach. |
| DOI | 10.1103/PhysRevA.100.022314 |
| 发表期刊 | PHYSICAL REVIEW A
 |
| ISSN | 2469-9926 |
| 卷号 | 100期号:2页码:8 |
| 收录类别 | SCI |
| WOS记录号 | WOS:000480387400008 |
| 语种 | 英语 |
