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20232025
most citedHybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning

12 citations · 17 across the 4 of their papers we have counts for

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quant-ph2025

Gradients, parallelism, and variance of quantum estimates

Francesco Preti, Michael Schilling, József Zsolt Bernád +3

Computation of observables and their gradients on near-term quantum hardware is a central aspect of any quantum algorithm. In this work, we first review standard approaches to the…

quant-ph2025

Real-time adaptive quantum error correction by model-free multi-agent learning

Manuel Guatto, Francesco Preti, Michael Schilling +3

Quantum error correction (QEC) is essential for scalable quantum computing, yet existing approaches rely on static assumptions about noise that break down in realistic hardware, wh…