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Quantum machine learning is one of the most promising applications of quantum computing in the Noisy Intermediate-Scale Quantum(NISQ) era.
The computer as a physical system: A microscopic quantum mechanical hamiltonian model of computers as represented by turing machines
Paul Benioff · 1980
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Richard P Feynman · 1982
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Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer
Shor P. W · 1995
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Quantum mechanics helps in searching for a needle in a haystack
Lov K Grover · 1997
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Grover algorithm with zero theoretical failure rate
G. L. Long · 2001
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Efficient scheme for initializing a quantum register with an arbitrary superposed state
Gui-Lu Long and Yang Sun · 2001
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Creating superpositions that correspond to efficiently integrable probability distributions
Lov Grover and Terry Rudolph · 2002
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Storing, processing, and retrieving an image using quantum mechanics
Salvador E Venegas-Andraca and Sougato Bose · 2003
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General quantum interference principle and duality computer
Long Gui-Lu · 2006
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Efficient state preparation for a register of quantum bits
Andrei N Soklakov and Rüdiger Schack · 2006
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Mathematical theory of duality quantum computers
Stan Gudder · 2007
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Quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
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Architectures for a quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
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A flexible representation of quantum images for polynomial preparation, image compression, and processing operations
Phuc Q Le, Fangyan Dong, and Kaoru Hirota · 2011
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On the robustness of bucket brigade quantum ram
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Quantum-enhanced machine learning
Vedran Dunjko, Jacob M Taylor, and Hans J Briegel · 2016
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Ian Goodfellow, Yoshua Bengio, Aaron Courville, and Yoshua Bengio · 2016
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Duality quantum computer and the efficient quantum simulations
Shi-Jie Wei and Gui-Lu Long · 2016
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Quantum machine learning with d-wave quantum computer
Feng Hu, Ban-Nan Wang, Ning Wang, and Chao Wang · 2019
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Towards quantum machine learning with tensor networks
William Huggins, Piyush Patil, Bradley Mitchell, K Birgitta Whaley, and E Miles Stoudenmire · 2019
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Quantum convolutional neural networks
Iris Cong, Soonwon Choi, and Mikhail D Lukin · 2019
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Quantum machine learning in feature hilbert spaces
Maria Schuld and Nathan Killoran · 2019
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Classification with quantum neural networks on near term processors
Edward Farhi, Hartmut Neven, et al · 2020
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Quantum simulation with hybrid tensor networks
Xiao Yuan, Jinzhao Sun, Junyu Liu, Qi Zhao, and You Zhou · 2020
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A survey of quantum image representations
Fei Yan, Abdullah M Iliyasu, and Salvador E Venegas-Andraca · 2016
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Quantum machine learning
Jacob Biamonte, Peter Wittek, Nicola Pancotti, Patrick Rebentrost, Nathan Wiebe, and Seth Lloyd · 2017
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Quantum image processing and its application to edge detection: theory and experiment
Xi-Wei Yao, Hengyan Wang, Zeyang Liao, Ming-Cheng Chen, Jian Pan, Jun Li, Kechao Zhang, Xingcheng Lin, Zhehui Wang, Zhihuang Luo, et al · 2017
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Classification with quantum neural networks on near term processors
Edward Farhi and Hartmut Neven · 2018
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Continuous-variable quantum neural networks
Nathan Killoran, Thomas R Bromley, Juan Miguel Arrazola, Maria Schuld, Nicolás Quesada, and Seth Lloyd · 2019
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Hybrid quantum-classical convolutional neural networks
Junhua Liu, Kwan Hui Lim, Kristin L Wood, Wei Huang, Chu Guo, and He-Liang Huang · 2019
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Recent advances in quantum machine learning
Yao Zhang and Qiang Ni · 2020
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Modeling viral diffusion using quantum computational network simulation
Brian C Britt · 2020
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A quantum deep convolutional neural network for image recognition
YaoChong Li, Ri-Gui Zhou, RuQing Xu, Jia Luo, and WenWen Hu · 2020
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Quantum algorithm for solving linear differential equations: Theory and experiment
Tao Xin, Shijie Wei, Jianlian Cui, Junxiang Xiao, Iñigo Arrazola, Lucas Lamata, Xiangyu Kong, Dawei Lu, Enrique Solano, and Guilu Long · 2020
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Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits
Jin-Guo Liu, Liang Mao, Pan Zhang, and Lei Wang · 2021
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