From the 1 of 5 linked papers with an AI index.
5 papers
Real-time adaptive quantum error correction by model-free multi-agent learning
Manuel Guatto, Francesco Preti, Michael Schilling +3
The paper introduces a two-stage framework where multi-agent reinforcement learning discovers quantum error-correcting circuits offline, and a lightweight bandit-based retraining a…
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…
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…
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…
Optimal two-qubit gates in recurrence protocols of entanglement purification
Francesco Preti, Tommaso Calarco, Juan Mauricio Torres +1
We propose and investigate a method to optimize recurrence entanglement purification protocols. The approach is based on a numerical search in the whole set of SU(4) matrices with…