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Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data
high-energy-physics-experimenthigh-energy-physics-phenomenologyhigh-energy-physics-theorymachine-learningquantum-physics
The classification and regression of particle collision events constitute a persistent computational challenge in experimental high energy physics, where large volumes of simulated data must be processed with both speed and precision. This work carries out a systematic comparison of four classical m
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