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Author

Apoorve Mohan

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Preprint Sep 2026

Towards Continuous Profiling and Optimization of Quantum-Classical Pipelines

Quantum applications increasingly execute as multi-stage quantum-classical pipelines, interleaving QPU computation with classical stages like circuit generation, transpilation, layout mapping, quantum error mitigation (QEM), and post-processing. These stages have diverse resource requirements and exhibit stochastic beh...

Ayush Bansal, Owen Cochell, Santiago Núñez-Corrales et al. · 0 citations
#machine learning Preprint Sep 2026

Tuning Collective Patterns to Alleviate Congestion in Shared AI Clusters

Distributed AI training involves recurring rounds of data exchange between multiple pairs of GPU nodes. Slowdown in even one flow due to congestion can cause the entire communication round to slowdown. Current approaches for evading congestion in AI clusters assume global control over the entire workload (e.g. coordina...

Eashan Gupta, Yong-Zhou Chen, Apoorve Mohan et al. · 0 citations

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