We develop Transformer-based ML method for blood pressure prediction from ultrasound signals.

We develop graph transformer models to predict the fidelity of quantum circuits on real quantum devices.

We develop a quantum machine learning framework on the pulse level.

We develop a robust circuit design framework that involves the variation information in the optimization process.

We develop a deep learning framework for robust RF-based vital signs sensing.

On-device training for robust variational quantum algorithms