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Further Reading: Chapter 21 — Quantum Machine Learning — Variational Circuits, Quantum Kernels, and the Search for Quantum Advantage in ML

  1. Havlíček, V., et al. (2019). "Supervised learning with quantum-enhanced feature spaces." Nature, 567(7747), 209–212.
  2. Schuld, M., & Petruccione, F. (2021). Machine Learning with Quantum Computers. Springer. (2nd edition)
  3. Biamonte, J., et al. (2017). "Quantum machine learning." Nature, 549(7671), 195–202.
  4. Cerezo, M., et al. (2021). "Variational quantum algorithms." Nature Reviews Physics, 3(9), 625–644.
  5. McClean, J. R., et al. (2018). "Barren plateaus in quantum neural network training landscapes." Nature Communications, 9, 4812.
  6. Huang, H.-Y., et al. (2020). "Predicting many properties of a quantum system from very few measurements." Nature Physics, 16, 1050–1057. (Classical shadows)
  7. Cong, I., Choi, S., & Lukin, M. D. (2019). "Quantum convolutional neural networks." Nature Physics, 15, 1273–1278.
  8. Schuld, M., & Killoran, N. (2019). "Quantum machine learning in feature Hilbert spaces." Physical Review Letters, 122(4), 040504.
  9. Liu, Y., et al. (2021). "A rigorous and robust quantum speed-up in supervised machine learning." Nature Physics, 17, 1013–1017.
  10. Huang, H.-Y., et al. (2021). "Power of data in quantum machine learning." Nature Communications, 12, 2631.
  11. Pérez-Salinas, A., et al. (2020). "Data re-uploading for a universal quantum classifier." Quantum, 4, 226.
  12. Benedetti, M., et al. (2019). "Parameterized quantum circuits as machine learning models." Quantum Science and Technology, 4(4), 043001.
  13. Qiskit Machine Learning Documentation. (2024). IBM Quantum. https://qiskit-community.github.io/qiskit-machine-learning/
  14. Abbas, A., et al. (2021). "The power of quantum neural networks." Nature Computational Science, 1, 403–409.
  15. Radhakrishnan, J., et al. (2022). "Quantum advantage in learning from experiments." Science, 376(6598), 1182–1186.
  16. Mari, A., et al. (2020). "Transfer learning in hybrid classical-quantum neural networks." Quantum, 4, 340.
  17. Huang, H.-Y., Kueng, R., & Preskill, J. (2020). "Predicting many properties of a quantum system from very few measurements." Nature Physics, 16, 1050–1057.
  18. Zheng, H., et al. (2023). "No barren plateaus in quantum convolutional neural networks." Physical Review Letters, 130, 220602.