On-device training for robust variational quantum algorithms

We present a 12b 25MS/s 11.3fJ/conv.-step secure random-mapping SAR ADC with power and EM side-channel attack resilience.

Design of Variational Quantum Algorithm Program

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

We develop a graph neural network and reinforcement learning based method for analog circuit transistor sizing.

We present Park, a platform for researchers to experiment with Reinforcement Learning (RL) for computer systems.