<ul><li>Traditional approaches for high-fidelity measurement of neutral-atom qubits suffer from readout crosstalk in tightly spaced arrays.</li><li>A new study presents two simpler and scalable machine learning algorithms for qubit readout problem.</li><li>The algorithms use matched filters and demonstrate error reduction of up to 32% and 43% for site and array models.</li><li>The proposed approaches require fewer parameters and computational resources compared to conventional methods.</li></ul>

Efficient measurement of neutral-atom qubits with matched filters

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