Artificial neural networks Archives - IEEE Transactions on Quantum Engineering

End-to-End Workflow for Machine-Learning-Based Qubit Readout With QICK and hls4ml

September 11, 2025Giuseppe Di Guglielmo Botao Du Javier Campos Alexandra Boltasseva Akash Dixit Farah FahimEnabling TechnologiesArtificial neural networks, Field programmable gate arrays, Hardware, Microprogramming, Microwave amplifiers, Microwave circuits, Qubit, Resonant frequency, Software, Table lookup

Abstract: In this article, we present an end-to-end workflow for superconducting qubit readout that embeds codesigned neural networks into the quantum instrumentation control kit (QICK). Capitalizing on the custom firmware and software of the QICK platform, which is built on Xilinx radiofrequency system-on-chip field-programmable gate arrays (FPGAs), we aim to leverage machine learning (ML) to […]

Neural-Network Decoders for Quantum Error Correction Using Surface Codes: A Space Exploration of the Hardware Cost-Performance Tradeoffs

Quantum error correction (QEC) is required in quantum computers to mitigate the effect of errors on physical qubits. When adopting a QEC scheme based on surface codes, error decoding is the most computationally expensive task in the classical electronic back-end. Decoders employing neural networks (NN) are well-suited for this task but their hardware implementation has […]