S ELE Q TOR : Intelligent Quantum Backend Selection and Runtime Estimation
This paper introduces S ELE Q TOR, which develops meta-backend-driven benchmarking, a technique that leverages workload-sensitive metrics to select the best backend per workload and provide runtime estimates for intelligent Q-HPC resource scheduling.
Srikar Chundury, Seongmin Kim, M. G. Meena et al.
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