Fidelity-Aware Scheduling of Quantum Circuits on Multi-QPU Systems
A low-overhead fidelity-aware scheduling framework for multi-QPU systems based on a Graph Neural Network that estimates, before compilation, the expected fidelity of each circuit on each available QPU, and a tunable scheduler uses these estimates to control the trade-off between execution fidelity and parallelism.
Innocenzo Fulginiti, Antonio Tudisco, Salvatore Zammuto et al.
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