From explainable NLP to quantum dynamics prediction
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Overcoming the coherence time barrier in quantum machine learning on temporal data
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Scalable quantum dynamics compilation via quantum machine learning
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CyberNext DC 2024
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Provably Trainable Rotationally Equivariant Quantum Machine Learning
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Generative Quantum Machine Learning via Denoising Diffusion Probabilistic Models
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Exponential quantum advantages in learning quantum observables from classical data
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On the expressivity of embedding quantum kernels
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