D. Volpe

Latency-constrained Fidelity Optimization for NISQ Execution via Quantum Circuit Knitting

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.

Fidelity-Based Quantum Device Selection Using Graph Neural Networks

Modern High-Performance Computing (HPC) infrastructures are increasingly integrating multiple Quantum Processing Units (QPUs) of different types alongside classical resources. Unlike traditional accelerator scheduling, quantum device selection affects not only performance but also the quality of the computed result bec...