Superconducting devices are one of the most promising platforms for building quantum computers, but demonstrating fault-tolerance on any quantum computing implementation remains a challenge. In recent years new hybrid quantum/classical algorithms targeting near-term devices have been proposed, focusing on short-depth parameterized quantum circuits and using quantum computation as a subroutine embedded in a larger classical optimization loop, without the immediate need for fault-tolerance. Rigetti Computing has built a flexible computing platform targeting precisely such hybrid applications, relying on custom entangling gates based on parametrically-activated interactions. In this talk I will explain the physics behind these two-qubit gates, how it enables the implementation of two distinct classes of entangling operations, and describe many features that make this architecture attractive from a scalability perspective. Finally, I will present how this gate architecture was used to demonstrate a hybrid algorithm for an unsupervised machine learning task known as clustering on a 19-qubit processor.
By Florian Marquardt
By Gary Steele
By Hendrik Bluhm
By Jean-Michel Raimond
By Alain Sarlette
By Sylvain Schwartz
By Sophia Economou
By Klaus Mølmer
By Howard M. Wiseman
By Michel Devoret
By Akira Furusawa
By Yanhong Xiao
By Alex Retzker
By Nicolas Didier
By Ivan Deutsch
By Mankei Tsang
By Aashish Clerk
By Valentina Parigi
By Rebing Wu
By Michael Biercuk
By Thomas Ayral
By Yassine Hamoudi
By Yassine Hamoudi
By Nana Liu
By Nana Liu
