Introduces a unified benchmarking methodology for quantum transfer learning in visual classification tasks, finding that no single method dominates and performance varies with dataset, encoding, and circuit design.
Quantum transfer learning for acceptability judgements,
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Towards Fair Benchmarking of Quantum Transfer Learning for Visual Classification
Introduces a unified benchmarking methodology for quantum transfer learning in visual classification tasks, finding that no single method dominates and performance varies with dataset, encoding, and circuit design.