March 2023
Intermediate to advanced
680 pages
13h 44m
English
book
A Practical Guide to Quantum Machine Learning and Quantum Optimization
by Elías F. Combarro, Samuel González-Castillo
Content preview from A Practical Guide to Quantum Machine Learning and Quantum Optimization
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Bibliography
[1] Abu-Mostafa, Y., Magdon-Ismail, M. & Lin, H. Learning from data. (AMLBook New York,2012)
[2] Abu-Mostafa, Y., Magdon-Ismail, M. & Lin, H. Learning from data, e-Chapter 8: Support Vector Machines. , https://amlbook.com/eChapters.html
[3] Acín, A. & Masanes, L. Certified randomness in quantum physics. Nature. 540, 213-219 (2016)
[4] Aharonov, D., Dam, W., Kempe, J., Landau, Z., Lloyd, S. & Regev, O. Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation. SIAM Journal On Computing. 37, 166-194 (2007)
[5] Agrawal, M., Kayal, N. & Saxena, N. PRIMES is in P. Annals Of Mathematics. pp. 781-793 (2004)
[6] Altepeter, J., Jeffrey, E. & Kwiat, P. Photonic state tomography. Advances In Atomic, Molecular, And ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.