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Quantum machine learning (QML) has received increasing attention due to its potential to outperform classical machine learning methods in problems pertaining classification and identification tasks.
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Benchmarking adversarially robust quantum machine learning at scale
West, M., Erfani, S.M., Leckie, C., Sevior, M., Hollenberg, L.C.L., Usman, M · 2022
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B.T. Kiani, G. De Palma, M. Marvian, Z. Liu, S. Lloyd, “Learning quantum data with the quantum earth mover’s distance,” Quantum Sci. and Technol
2022
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Z. Holmes, K. Sharma, M. Cerezo, and P. J. Coles, “Connecting ansatz expressibility to gradient magnitudes and barren plateaus,” PRX Quantum
2022
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