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Found 3 papers, 1 papers with code
Guided Quantum Compression for Higgs Identification
To ameliorate this issue, we design an architecture that unifies the preprocessing and quantum classification algorithms into a single trainable model: the guided quantum compression model.
Sets are all you need: Ultrafast jet classification on FPGAs for HL-LHC
We study various machine learning based algorithms for performing accurate jet flavor classification on field-programmable gate arrays and demonstrate how latency and resource consumption scale with the input size and choice of algorithm.
Machine Learning for Anomaly Detection in Particle Physics
The detection of out-of-distribution data points is a common task in particle physics.
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