Quantum Machine Learning: A Review and Case Studies
Amine Zeguendry, Zahi Jarir, Mohamed Quafafou
2023 · Entropy · 197 citations
Despite its undeniable success, classical machine learning remains a resource-intensive process. Practical computational efforts for training state-of-the-art models can now only be handled by high speed computer hardware. As this trend is expected to continue, it should come as no surprise that an increasing number of machine learning researchers are investigating the possible advantages of quantum computing. The scientific literature on Quantum Machine Learning is now enormous, and a review of its current state that can be comprehended without a physics background is necessary. The objectiv…
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