From the 1 of 13 linked papers with an AI index.
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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…
LUNA: LUT-Based Neural Architecture for Fast and Low-Cost Qubit Readout
M. A. Farooq, G. Di Guglielmo, A. Rajagopala +3
Qubit readout is a critical operation in quantum computing systems, which maps the analog response of qubits into discrete classical states. Deep neural networks (DNNs) have recent…
Machine Learning for Arbitrary Single-Qubit Rotations on an Embedded Device
Madhav Narayan Bhat, Marco Russo, Luca P. Carloni +4
Here we present a technique for using machine learning (ML) for single-qubit gate synthesis on field programmable logic for a superconducting transmon-based quantum computer based…
Fast Machine Learning for Quantum Control of Microwave Qudits on Edge Hardware
Flor Sanders, Gaurav Agarwal, Luca Carloni +3
Quantum optimal control is a promising approach to improve the accuracy of quantum gates, but it relies on complex algorithms to determine the best control settings. CPU or GPU-bas…
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…