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We present and compare two methods of generating quantum feature maps for quantum-enhanced support vector machine, a classifier based on kernel method, by which we can access high dimensional Hilbert space efficiently.
V.V. Shende, I.L. Markov, and S.S. Bullock, Minimal universal two-qubit controlled-NOT-based circuits
2004
Earlier work this paper cites.
F. Vatan and C. Williams, Optimal quantum circuits for general two-qubit gates
2004
Earlier work this paper cites.
S. Lee, S.J. Lee, T. Kim, J.S. Lee, J. Biamonte and M. Perkowski, The cost of quantum gate primitives
2006
Earlier work this paper cites.
V.V. Shende, S.S. Bullock, and I.L. Markov, Synthesis of Quantum-Logic Circuits
2006
Earlier work this paper cites.
M. Gönen and E. Alpaydin, Multiple Kernel Learning Algorithms
2011
Earlier work this paper cites.
F. Pedregosa, G. Varoquaux and A. Gramfort et al, Scikit-learn: Machine Learning in Python
2011
Earlier work this paper cites.
E.B. Alaia, I.H. Dridi, H. Bouchriha and P. Borne, Genetic algorithm with pareto front selection for multi-criteria optimization of multi-depots and multi- vehicle pickup and delivery problems with time windows
2014
Earlier work this paper cites.
A. Peruzzo, J. McClean, P. Shadbolt, M. Yung, X. Zhou, A. Aspuru-Guzik and A.L. O’Brien, A variational eigenvalue solver on a photonic quantum processor
2014
Earlier work this paper cites.
P. Rebentrost, M. Mohseni, and S. Lloyd, Quantum Support Vector Machine for Big Data Classification
2014
Earlier work this paper cites.
M. Schuld, I. Sinayskiy and F. Petruccione, An introduction to quantum machine learning
2015
Earlier work this paper cites.
P. Chen, L. Yuan, Y. He and S. Luo, An improved SVM classifier based on double chains quantum genetic algorithm and its application in analogue circuit diagnosis
2016
Cited alongside, same era.
R. Iten, R. Colbeck, I. Kukuljan, J. Home, and M. Christandl, Quantum circuits for isometries
2016
Cited alongside, same era.
H. Lingaraj, A Study on Genetic Algorithm and its Applications
2016
Cited alongside, same era.
J. Biamonte, P. Wittek, N. Pancotti, P. Rebentrost, N. Wiebe and S. Lloyd, Quantum machine learning
2017
Cited alongside, same era.
A. Kandala, A. Mezzacapo, K. Temme, A.W. Harrow, A. Brink, J.M. Chow and J.M. Gambetta, Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets
2017
Cited alongside, same era.
Y. Suzuki, H. Yano, Q. Gao, S. Uno, T. Tanaka, M. Akiyama and N. Yamamoto, Analysis and synthesis of feature map for kernel-based quantum classifier
2020
Later among the works it cites.
S. Altares-López, A. Ribeiro, J.J. García-Ripoll, Automatic design of quantum feature maps
2021
Later among the works it cites.
2021
Later among the works it cites.
Y. Liu, S. Arunachalam and K. Temme, A rigorous and robust quantum speed-up in supervised machine learning
2021
Later among the works it cites.
M. Mafu and M. Senekane, Design and Implementation of Efficient Quantum Support Vector Machine
2021
Later among the works it cites.
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G. Aleksandrowicz et al, Qiskit: An Open-source Framework for Quantum Computing
2019
Cited alongside, same era.
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2019
Cited alongside, same era.
M. Schuld and N. Killoran, Quantum Machine Learning in Feature Hilbert Spaces
2019
Cited alongside, same era.
2020
Cited alongside, same era.
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Cited alongside, same era.
B.S. Chen and J. Chern, Generating quantum feature maps for SVM classifier
Cited in the paper.
2021
Later among the works it cites.
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