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Quantum Mixed-State Self-Attention Network
The rapid advancement of quantum computing has increasingly highlighted its potential in the realm of machine learning, particularly in the context of natural language processing (NLP) tasks.
Quantum Generative Diffusion Model
This paper introduces the Quantum Generative Diffusion Model (QGDM), a fully quantum-mechanical model for generating quantum state ensembles, inspired by Denoising Diffusion Probabilistic Models.
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks
Deep neural networks (DNNs) have been widely deployed across diverse domains such as computer vision and natural language processing.
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