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Demonstration of quantum volume 64 on a superconducting quantum computing system

Petar Jurcevic • Zenodo (CERN European Organization for Nuclear Research) (2022)

Abstract We improve the quality of quantum circuits on superconducting quantum computing systems, as measured by the quantum volume (QV), with a combination of dynamical decoupling, compiler optimizations, shorter two-qubit gates, and excit...

OPENALEX cc-by DOI: https://doi.org/10.1088/2058-9565/abe519

Machine Learning in Compiler Optimization

Zheng Wang, Michael F. P. O’boyle • Proceedings of the IEEE (2018)

In the last decade, machine-learning-based compilation has moved from an obscure research niche to a mainstream activity. In this paper, we describe the relationship between machine learning and compiler optimization and introduce the main ...

OPENALEX Open Access DOI: https://doi.org/10.1109/jproc.2018.2817118

Evaluation of GCC optimization parameters

Rodrigo D. Escobar, Alekya R. Angula, Mark Corsi • Ingenierías USBMed (2012)

Compile-time optimization of code can result in significant performance gains. The amount of these gains varies widely depending upon the code being optimized, the hardware being compiled for, the specific performance increase attempted (e....

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