Quantum image classifier with single photons.
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Wei Yi | Lei Xiao | Kunkun Wang | Shi-Ju Ran | Peng Xue | P. Xue | Lei Xiao | Kunkun Wang | W. Yi | Shi-Ju Ran | L. Xiao
[1] Xiao Zhang,et al. Entanglement-Based Feature Extraction by Tensor Network Machine Learning , 2018, Frontiers in Applied Mathematics and Statistics.
[2] Franco Nori,et al. Experimental kernel-based quantum machine learning in finite feature space , 2019, Scientific Reports.
[3] Maria Schuld,et al. Quantum Machine Learning in Feature Hilbert Spaces. , 2018, Physical review letters.
[4] Li He,et al. Machine Learning Topological Phases with a Solid-State Quantum Simulator. , 2019, Physical review letters.
[5] D Zhu,et al. Training of quantum circuits on a hybrid quantum computer , 2018, Science Advances.
[6] Hans-J. Briegel,et al. Machine learning \& artificial intelligence in the quantum domain , 2017, ArXiv.
[7] F. Verstraete,et al. Renormalization and tensor product states in spin chains and lattices , 2009, 0910.1130.
[8] F. Verstraete,et al. Matrix product states, projected entangled pair states, and variational renormalization group methods for quantum spin systems , 2008, 0907.2796.
[9] Barry C. Sanders,et al. Observation of topological edge states in parity–time-symmetric quantum walks , 2017, Nature Physics.
[10] Kunkun Wang,et al. Centrality measure based on continuous-time quantum walks and experimental realization , 2017, 1702.03493.
[11] Soonwon Choi,et al. Quantum convolutional neural networks , 2018, Nature Physics.
[12] Zhao Yang,et al. Machine Learning Spatial Geometry from Entanglement Features , 2017, 1709.01223.
[13] Amnon Shashua,et al. Quantum Entanglement in Deep Learning Architectures. , 2018, Physical review letters.
[14] D. Deng,et al. Quantum Entanglement in Neural Network States , 2017, 1701.04844.
[15] E. Miles Stoudenmire,et al. Learning relevant features of data with multi-scale tensor networks , 2017, ArXiv.
[16] Chu Guo,et al. Matrix product operators for sequence-to-sequence learning , 2018, Physical Review E.
[17] Cheng Peng,et al. Tensor Network Contractions: Methods and Applications to Quantum Many-Body Systems , 2020 .
[18] C. Weedbrook,et al. Quantum Machine Learning over Infinite Dimensions. , 2016, Physical review letters.
[19] Gang Su,et al. Machine learning by unitary tensor network of hierarchical tree structure , 2017, New Journal of Physics.
[20] Geoff J Pryde,et al. Experimental Realization of a Quantum Autoencoder: The Compression of Qutrits via Machine Learning. , 2018, Physical review letters.
[21] Jun Wang,et al. Unsupervised Generative Modeling Using Matrix Product States , 2017, Physical Review X.
[22] Ievgeniia Oshurko. Quantum Machine Learning , 2020, Quantum Computing.
[23] Frank Verstraete,et al. Matrix product state representations , 2006, Quantum Inf. Comput..
[24] David J. Schwab,et al. Supervised Learning with Tensor Networks , 2016, NIPS.
[25] K. Birgitta Whaley,et al. Towards quantum machine learning with tensor networks , 2018, Quantum Science and Technology.
[26] Frank Verstraete,et al. Diagonalizing transfer matrices and matrix product operators: a medley of exact and computational methods , 2016, 1611.08519.
[27] Alexander Hentschel,et al. Machine learning for precise quantum measurement. , 2009, Physical review letters.
[28] Dan-Bo Zhang,et al. Protocol for implementing quantum nonparametric learning with trapped ions , 2020 .
[29] Christopher M. Bishop,et al. Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .
[30] Davide Anguita,et al. Quantum optimization for training support vector machines , 2003, Neural Networks.
[31] Travis S. Humble,et al. Quantum supremacy using a programmable superconducting processor , 2019, Nature.
[32] C-Y Lu,et al. Entanglement-based machine learning on a quantum computer. , 2015, Physical review letters.
[33] F. Verstraete,et al. Sequential generation of entangled multiqubit states. , 2005, Physical review letters.
[34] Jiangfeng Du,et al. Experimental realization of a quantum support vector machine. , 2015, Physical review letters.
[35] L-M Duan,et al. A quantum machine learning algorithm based on generative models , 2018, Science Advances.
[36] Barry C. Sanders,et al. Entanglement-enhanced quantum metrology in a noisy environment , 2017, 1707.08790.
[37] Gang Su,et al. Generative Tensor Network Classification Model for Supervised Machine Learning , 2019, Physical Review B.
[38] Shu-Hao Wu,et al. Quantum generative adversarial learning in a superconducting quantum circuit , 2018, Science Advances.
[39] Lei Wang,et al. Tree Tensor Networks for Generative Modeling , 2019, Physical Review B.
[40] L. Deng,et al. The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web] , 2012, IEEE Signal Processing Magazine.
[41] Jun Gao,et al. Experimental Machine Learning of Quantum States. , 2017, Physical review letters.
[42] Jens Eisert,et al. Expressive power of tensor-network factorizations for probabilistic modeling, with applications from hidden Markov models to quantum machine learning , 2019, NeurIPS.