Abstract
In order to run the quantum machine learning algorithms presented in this book we often assumed to have a universal, large-scale, error-corrected quantum computer available. Universal means that the computer can implement any unitary operation for the quantum system it is based on, and therefore any quantum algorithm we can think of.
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Notes
- 1.
A prominent joke attributes the success in machine learning to “graduate descent”, describing a worldwide army of graduate students that manually search through the infinite space of possible models.
Reference
Preskill, J.: Quantum computing in the NISQ era and beyond. arXiv preprint arXiv:1801.00862 (2018)
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Schuld, M., Petruccione, F. (2018). Prospects for Near-Term Quantum Machine Learning. In: Supervised Learning with Quantum Computers. Quantum Science and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-96424-9_9
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DOI: https://doi.org/10.1007/978-3-319-96424-9_9
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