Much like classical computing, quantum computers follow an abstraction model for their architecture. The performance of a quantum computer is dependent on the performance of each layer of this abstraction model, as well as the model itself. Due to its centrality in the quantum computing stack, the control system (consisting of hardware, firmware, and software) plays a strategically outsized role in the problem of quantum architecture. In this talk, I will go over our full-stack quantum computers at the Advanced Quantum Testbed, discuss a few examples of significant performance improvements as a result of co-design across the layers around the control system, and present a vision for extending this "deep co-design" approach through what I refer to as "Full Stack Co-Design".
Bio: Dr. Kasra Nowrouzi is a Scientist and the Head of Hardware at DOE's Advanced Quantum Testbed (AQT) program at Lawrence Berkeley National Laboratory (LBNL), where he oversees the development and deployment of full stack superconducting quantum computing platforms for collaborative research. Prior to his work at AQT, he spent 5 years at LBNL's Advanced Light Source synchrotron facility, where he developed a world-leading computational x-ray microscope. Kasra received his PhD in Applied Physics and BS in EECS both from UC Berkeley.