Author

Matteo Cremonesi

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#machine learning Jul 2026

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network

This paper presents an online detector of charge jumps for superconducting qubits, based on a dilated causal convolutional neural network (DCCNN) designed for in-the-loop deployment on the Quantum Instrumentation Control Kit (QICK) platform, enabling adaptive protocols that respond to radiation-induced events in situ.

Daniel Gaytan-Villarreal, P. Meiring, D. Baxter et al. · arXiv.org · 1 citation