A 4-qubit variational quantum circuit integrated with classical CNNs and multi-head attention yields higher accuracy on breast cancer thermography than classical baselines in simulation.
An introduction to quantum machine learning
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AI techniques including deep learning, reinforcement learning, and federated learning are positioned to enable high data rates, low latency, and massive connectivity in 6G networks while addressing scalability, security, and energy challenges.
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Hybrid Quantum Neural Networks for Enhanced Breast Cancer Thermographic Classification: A Novel Quantum-Classical Integration Approach
A 4-qubit variational quantum circuit integrated with classical CNNs and multi-head attention yields higher accuracy on breast cancer thermography than classical baselines in simulation.
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A Survey on AI for 6G: Challenges and Opportunities
AI techniques including deep learning, reinforcement learning, and federated learning are positioned to enable high data rates, low latency, and massive connectivity in 6G networks while addressing scalability, security, and energy challenges.