Comparison of cloud-based ion trap and superconducting quantum computer architectures

Quantum computing represents a radical departure from conventional approaches to information processing, offering the potential for solving problems that can never be approached classically. While large-scale quantum computer hardware is still in development, several quantum computing systems have recently become available as commercial cloud services. The authors compare the performance of IBMQ-16-Melbourne, IBMQ-Vigo, and Rigetti Aspen-8 superconducting systems, and IonQ ion trap systems on several simple quantum circuits and algorithms and examine component performance in the context of each system's architecture.

Duke Scholars

Author Christopher R Monroe Electrical and Computer Engineering