Long-Term Analysis of the Dependability of Cloud-based NISQ Quantum Computers
Abstract
Numerous public cloud infrastructure providers today allow for access to Noisy Intermediate-Scale Quantum (NISQ) computers. Changes in the environment or the machine configuration may affect their dependability. Through analysis of real quantum computer calibration data, this work demonstrates that quantum computers available from IBM Quantum experience periods of fluctuation or abrupt qubit frequency changes. This work further analyzes the correlation between the frequency change events, decoherence times, gate errors, and machine maintenance or offline periods. The results highlight that the properties of NISQ computers change over time, affecting their dependability, but not all of the changes can be explained with publicly available data.
Type
Publication
International Conference on Availability, Reliability and Security (ARES)
Authors
Chuanqi Xu
(he/him)
Research Scientist
I am a Research Scientist at Meta working on Meta’s Generative Ads Recommendation Model (GEM). My focus is on designing and implementing novel transfer learning paradigms to amplify the impact of foundation models within production environments. Additionally, I am working on optimizing the efficiency and performance of GEM’s ecosystem.
Previously, I earned my PhD at Yale University. My research there sat at the intersection of quantum computing and security, where I designed novel attacks and defenses for quantum computers. Before this, I completed my undergraduate studies at University of Science and Technology of China (USTC), where I studied and researched on theoretical and computational condensed matter physics.
Authors