Work

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

Year: 2021
Type: article
Abstract: 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.
Authors: S. Blinov, B. Wu, C. Monroe
Institution: Duke University
Language: English
Open Access status: green
OpenAlex ID: W3204244657
FWCI: 1.388
Cites: 14
Cited by: 21
Related to: 10