quantum generative models
Quantum generative models are machine learning models that leverage quantum computing principles to simulate and generate complex data patterns and structures. These models use the unique properties of quantum systems, such as superposition and entanglement, to generate data samples that approximate a given dataset and capture its inherent features.
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