We design a set of hardware-efficient variational ansatz for quantum convolutional circuits.

We propose a method for more reliable VQE training.

We present a hybrid gate-pulse model that reduces circuit execution time for VQAs.

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

We design quantum antivirus to detect and explore different types of quantum computer viruses and defense methods.

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