Since the landmark Nature paper by Kielpinski et al in 2000 describinga technology for scalable quantum computation (part of the work for whichWineland was co-awarded the 2012 Nobel prize in physics), interest inpractical quantum computation has grown signiﬁcantly. Recent announcementsby commercial effort Dwave of a 128-quantum-bit adiabatic system,although controversial in terms of its quantum properties, illustratethe engineering progress that has been made.In this talk, I will present a basic quantum computing architecture basedupon trapped-ion technology. I will examine several challenges to scalingthis architecture and explore adaptations of traditional computer systemssolutions towards these challenges. Specifically, I will introduce aninterconnection network that uses quantum teleportation to addressreliability and latency challenges in long-distance communication.I will present a quantum memory hierarchy to decrease the area andperformance penalties resulting from quantum error correction.Finally, I will discuss work that explores static and dynamic compilationstrategies for generating quantum machine code which approximatearbitrary quantum rotations, an important primitive in many quantumalgorithms.
Fred Chong is the Director of Computer Engineering and a Professor ofComputer Science at UCSB. He also directs the Greenscale effort inEnergy-Efficient Computing, which involves over 20 multi-disciplinaryfaculty. Chong received his Ph.D. from MIT in 1996 and was a facultymember and Chancellor's fellow at UC Davis from 1997-2005. He is arecipient of theNSF CAREER award and his research interests includeemerging technologies for computing, multicore and embeddedarchitectures, computer security, and sustainable computing.
Director, Computer Engineering Program
Director, Greenscale Center for Energy-Efficient Computing
Professor, Department of Computer Science
University of California at Santa Barbara