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With the rapid advance of quantum machine learning, several proposals for the quantum-analogue of convolutional neural network (CNN) have emerged.
A method for solving the convex programming problem with convergence rate o ( 1 / k 2 ) o(1/k^{2})
Y. Nesterov · 1983
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Gradient-based learning applied to document recognition
Y. Lecun, L. Bottou, Y. Bengio, and P. Haffner · 1998
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Principal Component Analysis
Ian T. Jolliffe · 2002
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Optimal quantum circuits for general two-qubit gates
Farrokh Vatan and Colin Williams · 2004
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Quantum random access memory
Vittorio Giovannetti, Seth Lloyd, and Lorenzo Maccone · 2008
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Branching Quantum Convolutional Neural Networks
Ian MacCormack, Conor Delaney, Alexey Galda, Nidhi Aggarwal, and Prineha Narang · 2012
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Decomposition of orthogonal matrix and synthesis of two-qubit and three-qubit orthogonal gates
Hai-Rui Wei and Yao-Min Di · 2012
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Quantum algorithms for supervised and unsupervised machine learning
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2013
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Quantum principal component analysis
Seth Lloyd, Masoud Mohseni, and Patrick Rebentrost · 2014
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Quantum support vector machine for big data classification
Patrick Rebentrost, Masoud Mohseni, and Seth Lloyd · 2014
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
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Quantum algorithms for nearest-neighbor methods for supervised and unsupervised learning
Nathan Wiebe, Ashish Kapoor, and Krysta M. Svore · 2015
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A convolutional neural network neutrino event classifier
A. Aurisano, A. Radovic, D. Rocco, A. Himmel, M.D. Messier, E. Niner, G. Pawloski, F. Psihas, A. Sousa, and P. Vahle · 2016
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Deep Learning
Ian Goodfellow, Yoshua Bengio, and Aaron Courville · 2016
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Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber
R. Acciarri et al · 2017
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Detection of phase transition via convolutional neural networks
Akinori Tanaka and Akio Tomiya · 2017
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Hybrid quantum-classical approach to quantum optimal control
Jun Li, Xiaodong Yang, Xinhua Peng, and Chang-Pu Sun · 2017
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2017
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Deep learning for real-time gravitational wave detection and parameter estimation: Results with advanced ligo data
Daniel George and E.A. Huerta · 2018
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Quantum Computing in the NISQ era and beyond
John Preskill · 2018
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Hierarchical quantum classifiers
Edward Grant, Marcello Benedetti, Shuxiang Cao, Andrew Hallam, Joshua Lockhart, Vid Stojevic, Andrew G. Green, and Simone Severini · 2018
Cited alongside, same era.
Quantum circuit learning
K. Mitarai, M. Negoro, M. Kitagawa, and K. Fujii · 2018
Quantum convolutional neural networks for high energy physics data analysis
Samuel Yen-Chi Chen, Tzu-Chieh Wei, Chao Zhang, Haiwang Yu, and Shinjae Yoo · 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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Pennylane: Automatic differentiation of hybrid quantum-classical computations
Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, M. Sohaib Alam, Shahnawaz Ahmed, Juan Miguel Arrazola, Carsten Blank, Alain Delgado, Soran Jahangiri, Keri McKiernan, Johannes Jakob Meyer, Zeyue Niu, Antal Száva, and Nathan Killoran · 2020
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Circuit-based quantum random access memory for classical data with continuous amplitudes
T. M. L. Veras, I. C. S. De Araujo, K. D. Park, and A. J. da Silva · 2020
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Robust data encodings for quantum classifiers
Ryan LaRose and Brian Coyle · 2020
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Cited alongside, same era.
q-means: A quantum algorithm for unsupervised machine learning
Iordanis Kerenidis, Jonas Landman, Alessandro Luongo, and Anupam Prakash · 2019
Cited alongside, same era.
Quantum convolutional neural networks
Iris Cong, Soonwon Choi, and Mikhail D. Lukin · 2019
Cited alongside, same era.
Quantum algorithms for deep convolutional neural networks
Iordanis Kerenidis, Jonas Landman, and Anupam Prakash · 2019
Cited alongside, same era.
Evaluating analytic gradients on quantum hardware
Maria Schuld, Ville Bergholm, Christian Gogolin, Josh Izaac, and Nathan Killoran · 2019
Cited alongside, same era.
Quantum machine learning in feature hilbert spaces
Maria Schuld and Nathan Killoran · 2019
Cited alongside, same era.
Circuit-based quantum random access memory for classical data
Daniel K. Park, Francesco Petruccione, and June-Koo Kevin Rhee · 2019
Cited alongside, same era.
Later among the works it cites.
Quantum embeddings for machine learning
Seth Lloyd, Maria Schuld, Aroosa Ijaz, Josh Izaac, and Nathan Killoran · 2020
Later among the works it cites.
Quantum computing model of an artificial neuron with continuously valued input data
Stefano Mangini, Francesco Tacchino, Dario Gerace, Chiara Macchiavello, and Daniele Bajoni · 2020
Later among the works it cites.
Hybrid quantum-classical convolutional neural networks
Junhua Liu, Kwan Hui Lim, Kristin L. Wood, Wei Huang, Chu Guo, and He-Liang Huang · 2021
Closest in time.
A Quantum Convolutional Neutral Network on NISQ Devices
ShiJie Wei, YanHu Chen, ZengRong Zhou, and GuiLu Long · 2021
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Quantum computing models for artificial neural networks
S. Mangini, F. Tacchino, D. Gerace, D. Bajoni, and C. Macchiavello · 2021
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Variational quantum algorithms
M. Cerezo, Andrew Arrasmith, Ryan Babbush, Simon C. Benjamin, Suguru Endo, Keisuke Fujii, Jarrod R. McClean, Kosuke Mitarai, Xiao Yuan, Lukasz Cincio, and Patrick J. Coles · 2021
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Noisy intermediate-scale quantum (nisq) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw, Tobias Haug, Sumner Alperin-Lea, Abhinav Anand, Matthias Degroote, Hermanni Heimonen, Jakob S. Kottmann, Tim Menke, Wai-Keong Mok, Sukin Sim, Leong-Chuan Kwek, and Alán Aspuru-Guzik · 2021
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Robust quantum classifier with minimal overhead
Daniel K. Park, Carsten Blank, and Francesco Petruccione · 2021
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Absence of barren plateaus in quantum convolutional neural networks
Arthur Pesah, M. Cerezo, Samson Wang, Tyler Volkoff, Andrew T. Sornborger, and Patrick J. Coles · 2021
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A divide-and-conquer algorithm for quantum state preparation
Israel F. Araujo, Daniel K. Park, Francesco Petruccione, and Adenilton J. da Silva · 2021
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Variational quantum tensor networks classifiers
Rui Huang, Xiaoqing Tan, and Qingshan Xu · 2021
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Quantum neuron with real weights
Cláudio A. Monteiro, Gustavo I.S. Filho, Matheus Hopper J. Costa, Fernando M. de Paula Neto, and Wilson R. de Oliveira · 2021
Closest in time.