Experimental evidence of generalization in quantum machine learning in small-data regime
quant-ph, q-bio.QM
Submitted: 2026-09-21
Updated: 2026-09-21
Terminology
Sources
- Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
- Understanding Generalization in Quantum Machine Learning with Margins
- Representation of Classical Data on Quantum Computers
- Classically Approximating Variational Quantum Machine Learning with Random Fourier Features
- Adam: A Method for Stochastic Optimization
- A Comparative Study of Encoding Strategies for Quantum Convolutional Neural Networks
- Exponential quantum advantage in processing massive classical data
- A Primer on Quantum Machine Learning
- Myths around quantum computation before full fault tolerance: What no-go theorems rule out and what they don't
- Spectral methods: crucial for machine learning, natural for quantum computers?
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