Feature Encoding in Quantum Machine Learning: A Survey and Practical Guidelines

arXiv:2606.05387v1 Announce Type: new Abstract: The encoding of classical data into quantum states constitutes the primary performance bottleneck in Quantum Machine Learning (qml) on Noisy Intermediate-Scale Quantum (nisq) devices. No existing framework jointly characterises resource cost, expressi