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38:55
YouTube
Centre for Quantum Technologies
QTML 2025: Scalable quantum machine learning models in Fourier space
Speaker: Joseph Bowles Abstract: I will show how Fourier analysis can be used to construct quantum machine learning models that are massively scalable, while simultaneously encoding an important bias present in nearly all datasets. More specifically, we will see how using the quantum Fourier transform to build models in Fourier space leads to a ...
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