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Quantum-inspired machine learning on high-energy physics data

Computer Science

Quantum-inspired machine learning on high-energy physics data

T. Felser, M. Trenti, et al.

Discover how Timo Felser and his team harness quantum-inspired machine learning with tree tensor networks to revolutionize the classification of b-jets at the LHCb experiment. Their findings reveal comparable performance to deep neural networks, offering unique advantages in interpretability and adaptability for real-time applications. Don't miss out on this cutting-edge research!

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