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

We design and tape-out the SpAtten architecture in TSMC 28nm technology digital chip.

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

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

This paper provides an overview of efficient deep learning methods, systems and applications.

SPVNAS enhances Point-Voxel Convolution in large-scale outdoor scenes with sparse convolutions. With 3D Neural Architecture Search (3D-NAS), it efficiently and effectively searches the optimal 3D neural network architecture under a given resource constraint.