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

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-ch...

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Bibliographic Details

Published in:	IEEE Transactions on Quantum Engineering
Main Authors:	Giuseppe Di Guglielmo, Botao Du, Javier Campos, Alexandra Boltasseva, Akash Dixit, Farah Fahim, Zhaxylyk Kudyshev, Santiago Lopez, Ruichao Ma, Gabriel N. Perdue, Nhan Tran, Omer Yesilyurt, Daniel Bowring
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Machine learning (ML) quantum computing radiofrequency system-on-chip (RFSoC) superconducting (SC) qubit readout
Online Access:	https://ieeexplore.ieee.org/document/11159596/