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QuSquare introduces a scalable evaluation framework specifically designed for pre-fault-tolerant quantum hardware, addressing critical gaps in current performance metrics. By focusing on quality attributes like reproducibility and fairness across diverse architectures, this benchmark suite aims to provide realistic assessments of near-term devices without relying on distant fault-tolerance promises. This development is essential for establishing consistent standards that can accurately track genuine progress in noisy intermediate-scale quantum (NISQ) systems.
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New benchmark, QuSquare, tests near-term quantum devices

Quantum Zeitgeist8 min de cititArticolul și perspectiva sunt în engleză.

Researchers unveiled QuSquare, a scalable quality-oriented benchmark suite for assessing pre-fault-tolerant quantum devices.

Researchers from the Department of Physical Chemistry, University of the Basque Country UPV/EHU and BCAM, Basque Center for Applied Mathematics in Bilbao, Spain have published a new benchmark suite called “QuSquare” designed to evaluate current quantum devices. Published in Quantum Science and Technology, Number 3, with DOI 10.1088/2058-9565/ae917c, QuSquare focuses on assessing the performance of quantum computers before they reach fault tolerance. The work addresses a key challenge in quantum computing: achieving fair, scalable, and consistent evaluations of these pre-fault-tolerant systems. Unlike many existing efforts focused on the distant promise of fault-tolerant quantum computation, QuSquare specifically targets pre-fault-tolerant devices, acknowledging the current limitations of near-term quantum technology. This focus allows for a more practical assessment of quantum processors and provides a pathway for tracking progress as the field matures. The developers detail their work in Quantum Science and Technology, outlining a suite designed to evaluate both system- and application-level performance. The creation of QuSquare responds to a critical gap in the field; the proliferation of diverse…

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