Author

Matteo Cremonesi

2 papers indexed here

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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

#machine learning Preprint Sep 2026

Real-Time Plasma State Prediction via FPGA-Accelerated Quantized Recurrent Probabilistic Neural Networks

A design that fits comfortably within all four resource budgets at deterministic sub-10~$\mu$s single-timestep latency, meeting the requirements for real-time inference inside a model-predictive-control-style plasma control loop is reported.

Daniel Gaytan-Villarreal, A. Xie, T. Phạm et al. · 0 citations