English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

Evaluating the performance of quantum devices is an important step towardsscaling quantum devices and eventually using them in practice. The great numberof available quantum metrics and the different hardware technologies used todevelop quantum computers complicate this evaluation. In addition, differentcomputational paradigms implement quantum operations in different ways. Aprominent quantum metric is given by the Q-score metric of Atos. This metricwas originally introduced as a standalone way to benchmark devices using theMax-Cut problem. In this work, we show that the Q-score defines a framework ofquantum metrics, which allows benchmarking using different problems, usersettings and solvers. To showcase the applicability of the framework, weshowcase a second Q-score in this framework, called the Q-score Max-Clique.This yields, to our knowledge, the first application-level metric capable ofnatively comparing three different paradigms of quantum computing. This metricis evaluated on these computational quantum paradigms -- quantum annealing,gate-based quantum computing, and photonic quantum computing -- and the resultsare compared to those obtained by classical solvers.

Extending the Q-score to an Application-level Quantum Metric Framework