| 2022. 2/5 Friday | speaker: 高嘉陽 Jia-Yang Gao |
| In this talk I plan to give an hour talk on hybrid quantum-classical machine learning which will have some introduction to this field, what have been done before, what I have done, and also the comparison of classical neural networks. |
| If time allowed, I can also show the results I have tried recently and the recent great works by other people such as the following. |
| |
| 1. Power of data in quantum machine learning. |
| 2. The power of quantum neural network |
| 3. Connecting ansatz expressibility to gradient magnitudes and barren plateaus |
