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Quantum Computing and especially Quantum Machine Learning, in a short period of time, has gained a lot of interest through research groups around the world.
Henderson, M., Shakya, S., Pradhan, S., Cook, T.: Quanvolutional Neural Networks: Powering Image Recognition with Quantum Circuits. arXiv: 1904.04767
1904
Earlier work this paper cites.
Alpaydin, E., Kaynak, C.: Cascading Classifiers. Kybernetika. 34, 369-374 (1997)
1997
Earlier work this paper cites.
LeCun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proceedings of the IEEE. 86, 2278–2323 (1998)
1998
Earlier work this paper cites.
Zhou, J., Gan, Q., Krzyżak, A., Suen, C. Y.: Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. IJDAR. 2, 30–36 (1999)
1999
Earlier work this paper cites.
2011
Earlier work this paper cites.
Rossi, M., Huber, M. Bruß, D., Macchiavello, C.: Quantum hypergraph states. New Journal of Physics. 15, 113022 (2013)
2013
Cited alongside, same era.
Schuld, M., Sinayskiy, I., Petruccione, F.: Simulating a perceptron on a quantum computer. Physics Letters A. 379, 660-663 (2015)
2015
Cited alongside, same era.
Yamamoto, A.Y., Sundqvist, K.M., Li, P., Harris, H. R.: Simulation of a Multidimensional Input Quantum Perceptron. Quantum Inf Process. 17, 128 (2018)
2018
Cited alongside, same era.
Piat, S., Usher, N., Severini, S., Herbster, M., Mansi, T., Mountney, P.: Image classification with quantum pre-training and auto-encoders. International Journal of Quantum Information. 16, 1840009 (2018)
2018
Cited alongside, same era.
Dang, Y., Jiang, N., Hu, H., Ji, Z., Zhang, W.: Image classification based on quantum K-Nearest-Neighbor algorithm. Quantum Information Processing 17, 239 (2018)
Jeswal, S. K., Chakraverty, S.: Recent developments and applications in quantum neural network: A review. Archives of Computational Methods in Engineering, , 1-15 (2018)
2018
Later among the works it cites.
Cong, I., Choi, S., Lukin, M. D.: Quantum convolutional neural networks. Nature Physics. 15, 1273–1278 (2019)
2019
Later among the works it cites.
Zhao, J., Zhang, Y. H., Shao, C. P., Wu, Y. C., Guo, G. C., Guo, G. P.: Building quantum neural networks based on a swap test. Phys. Rev. A. 100, 012334 (2019)
2019
Later among the works it cites.
Francesco, T., Chiara, M., Dario, G., Daniele, B.: An artificial neuron implemented on an actual quantum processor. NPJ Quantum Information 5(1), (2019)
2019
Later among the works it cites.
Héctor Abraham et al.: Qiskit: An Open-source Framework for Quantum Computing. 10.5281/zenodo.2562110 (2019)
2019
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2018
Cited alongside, same era.
He, K., Zhang, X., Ren, S., Sun, J.: Deep Residual Learning for Image Recognition. arXiv: 1512.03385
Cited in the paper.
Hybrid quantum-classical Neural Networks with PyTorch and Qiskit, https://qiskit.org/textbook/ch-machine-learning/machine-learning-qiskit-pytorch.html
Cited in the paper.
Later among the works it cites.