charge jumps 1convolutional neural network 1FPGA implementation 1quantum error mitigation 1real-time detection 1superconducting qubits 1
From the 1 of 3 linked papers with an AI index.
3 papers
quant-ph2026
Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network
Daniel Gaytan-Villarreal, Peter Meiring, Daniel Baxter +6
The paper presents an online detector for charge jumps in superconducting qubits using a dilated causal convolutional neural network that runs on FPGA hardware with microsecond lat…
physics.ins-det2025
Estimating the Energy Threshold of Phonon-mediated Superconducting Qubit Detectors Operated in an Energy-Relaxation Sensing Scheme
R. Linehan, I. Hernandez, D. J. Temples +13
In recent years, the lack of a conclusive detection of WIMP dark matter at the 10 GeV/c mass scale and above has encouraged development of low-threshold detector technology a…
quant-ph2025
End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml
Giuseppe Di Guglielmo, Botao Du, Javier Campos +10
We present an end-to-end workflow for superconducting qubit readout that embeds co-designed Neural Networks (NNs) into the Quantum Instrumentation Control Kit (QICK). Capitalizing…