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20232025
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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…

quant-ph2024

Exponentiation of Parametric Hamiltonians via Unitary interpolation

Michael Schilling, Francesco Preti, Matthias M. Müller +2

The effort to generate matrix exponentials and associated differentials, required to determine the time evolution of quantum systems, frequently constrains the evaluation of proble…

quant-ph2024

Statistical evaluation and optimization of entanglement purification protocols

Francesco Preti, József Zsolt Bernád

Quantitative characterization of two-qubit entanglement purification protocols is introduced. Our approach is based on the concurrence and the hit-and-run algorithm applied to the…

quant-ph2023

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning

Francesco Preti, Michael Schilling, Sofiene Jerbi +4

Shortening quantum circuits is crucial to reducing the destructive effect of environmental decoherence and enabling useful algorithms. Here, we demonstrate an improvement in such c…