Author

Oliver Knitter

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#machine learning Preprint Sep 2026

Neural Fourier Surrogates for Data Reuploading Quantum Neural Networks

For quantum machine learning, the exact boundary between classical and quantum advantage is still poorly understood. Direct comparison between quantum neural networks (QNNs) and existing classical models, which encompass fundamentally different function classes, often fails to provide broader insight into the differenc...

Oliver Knitter, Jonathan Mei, Sang Hyub Kim et al. · 0 citations

Preprint Sep 2026

Towards Scaling Quantum Fine-Tuning of Foundational Time Series Models for Classification

The wing module is introduced, a self-contained few-qubit circuit that feeds additional information into the core circuit through a sparse, one-way coupling, and reframe scaling for quantum fine-tuning: added qubits help when they carry added inputs, not merely more parameters.

Sang Hyub Kim, Julien Baglio, R. Krishnakumar et al. · 0 citations