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Kernel methods have a wide spectrum of applications in machine learning.
Detecting crosstalk errors in quantum information processors
Sarovar, M. et al · 1908
Earlier work this paper cites.
Detecting crosstalk errors in quantum information processors (2019)
Sarovar, M. et al · 1908
Earlier work this paper cites.
Quantum detection and estimation theory
Helstrom, C. W · 1969
Earlier work this paper cites.
The kernel trick for distances
Schölkopf, B · 2000
Earlier work this paper cites.
Quantum Associative Memory
Ventura, D. & Martinez, T · 2000
Earlier work this paper cites.
Quantum fingerprinting
Buhrman, H., Cleve, R., Watrous, J. & de Wolf, R · 2001
Earlier work this paper cites.
Efficient scheme for initializing a quantum register with an arbitrary superposed state
Long, G.-L. & Sun, Y · 2001
Earlier work this paper cites.
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Grover, L. & Rudolph, T · 2002
Earlier work this paper cites.
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Kaye, P. & Mosca, M · 2004
Earlier work this paper cites.
Transformation of quantum states using uniformly controlled rotations
Möttönen, M., Vartiainen, J. J., Bergholm, V. & Salomaa, M. M · 2005
Earlier work this paper cites.
Efficient state preparation for a register of quantum bits
Soklakov, A. N. & Schack, R · 2006
Earlier work this paper cites.
Kernel methods in machine learning
Hofmann, T., Schölkopf, B. & Smola, A. J · 2008
Earlier work this paper cites.
Quantum random access memory
Giovannetti, V., Lloyd, S. & Maccone, L · 2008
Earlier work this paper cites.
Architectures for a quantum random access memory
Giovannetti, V., Lloyd, S. & Maccone, L · 2008
Earlier work this paper cites.
Quantum-state preparation with universal gate decompositions
Plesch, M. & Brukner, Č · 2011
Earlier work this paper cites.
Quantum Computation and Quantum Information: 10th Anniversary Edition ,
Nielsen, M. A. & Chuang, I. L · 2011
Earlier work this paper cites.
Nielsen, M. A. & Chuang, I. L
2011
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Robust quantum random access memory
Hong, F.-Y., Xiang, Y., Zhu, Z.-Y., Jiang, L.-z. & Wu, L.-n · 2012
Cited alongside, same era.
Quantum Machine Learning: What Quantum Computing Means to Data Mining (Academic Press, Boston, 2014)
Wittek, P · 2014
Cited alongside, same era.
An introduction to quantum machine learning
Schuld, M., Sinayskiy, I. & Petruccione, F · 2014
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Quantum support vector machine for big data classification
Rebentrost, P., Mohseni, M. & Lloyd, S · 2014
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Tensor networks and graphical calculus for open quantum systems
Wood, C. J., Biamonte, J. D. & Cory, D. G · 2015
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Practical quantum error mitigation for near-future applications
Endo, S., Benjamin, S. C. & Li, Y · 2018
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Quantum machine learning in feature Hilbert spaces
Schuld, M. & Killoran, N · 2019
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Supervised learning with quantum-enhanced feature spaces
Havlícek, V. et al · 2019
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Park, D. K., Petruccione, F. & Rhee, J.-K. K · 2019
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Parallel quantum trajectories via forking for sampling without redundancy
Park, D. K., Sinayskiy, I., Fingerhuth, M., Petruccione, F. & Rhee, J.-K. K · 2019
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IBM Q 5 Ourense backend specification v1.0.1 (2019)
5-qubit backend: IBM Q team · 2019
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Schuld, M., Fingerhuth, M. & Petruccione, F · 2017
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