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.
De Florian Marquardt
De Gary Steele
De Hendrik Bluhm
De Jean-Michel Raimond
De Alain Sarlette
De Sylvain Schwartz
De Sophia Economou
De Klaus Mølmer
De Howard M. Wiseman
De Michel Devoret
De Akira Furusawa
De Yanhong Xiao
De Alex Retzker
De Nicolas Didier
De Ivan Deutsch
De Mankei Tsang
De Aashish Clerk
De Valentina Parigi
De Rebing Wu
De Michael Biercuk
