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Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems

arxiv.org/abs/2609.09980

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Updated 5 h ago · first seen 11 Sept 2026

paper_01M294GN1MG3VQ1Y58Q0196HC1

Published
11 Sept 2026
T1 · 5 h ago
arXiv
2609.09980
T1 · 5 h ago
Category
quant-ph
T1 · 5 h ago

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High Performance Computing-Quantum Computing (HPCQC) platforms expose multiple Quantum Processing Units (QPUs) that may differ in size, topology, native gates, and noise characteristics. For current noisy devices, errors compound along the compiled circuits quickly, and minimizing them, that is, maximizing the circuits' execution fidelity, is essential for reliable results. Fidelity depends on the compilation to a specific target device: the same high-level circuit may produce different executables and, therefore, different expected fidelities across QPUs. We present a low-overhead fidelity-aware scheduling framework for multi-QPU systems based on a Graph Neural Network (GNN) that estimates, before compilation, the expected fidelity of each circuit on each available QPU. Then, a tunable scheduler uses these estimates to control the trade-off between execution fidelity and parallelism. Results show that this framework allows for approximating an exhaustive fidelity-based assignment, saving computational resources compared to a brute-force approach that compiles each circuit on every device. → currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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