quantum-neural networks
PulseAugur coverage of quantum-neural networks — every cluster mentioning quantum-neural networks across labs, papers, and developer communities, ranked by signal.
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New hybrid quantum-fuzzy systems proposed for AI knowledge representation
Researchers have proposed a new knowledge representation system that combines dense embeddings with quantum-fuzzy logic. This hybrid approach aims to overcome the trade-offs between probabilistic and crisp inference fou…
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New QDS-SNN algorithm boosts traffic sign recognition with quantum-SNNs
Researchers have developed a new algorithm called QDS-SNN that combines Spiking Neural Networks (SNNs) with Quantum Neural Networks (QNNs) for energy-efficient traffic sign recognition. This hybrid approach aims to over…
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New framework enables scalable quantum neural network training on hardware
Researchers have developed a new framework for training quantum neural networks (QNNs) on quantum hardware, significantly reducing the computational cost of gradient estimation. This method lowers the required circuit e…
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Researchers explore quantum neural networks via mixture of experts
Researchers have established a mean-field limit for Mixture of Experts (MoE) models trained using gradient flow in supervised learning scenarios. Their findings demonstrate that as the number of experts increases, the m…
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Researchers develop Quantum Interval Bound Propagation for certified quantum machine learning
Researchers have introduced Quantum Interval Bound Propagation (QIBP), a new method for the certified training of quantum neural networks. This technique adapts classical Interval Bound Propagation (IBP) to the quantum …
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AI framework QAROO optimizes task offloading for energy-efficient MEC networks
Researchers have introduced QAROO, a novel AI-driven framework designed for online task offloading in mobile edge computing (MEC) networks. This system aims to optimize computing and energy resources by integrating quan…