WiMi proposes reinforcement-learning scheme for quantum machine-learning encoding circuits
AI Summary- WiMi proposed a reinforcement-learning scheme for generating task-specific quantum encoding circuits.
- WiMi’s framework considers model performance, quantum resource use and noise robustness simultaneously.
- WiMi said it will continue optimizing the solution and researching quantum computing with machine learning.