Quantum Anomaly Detection for Collider Physics

Understand

Quantum Machine Learning (QML) is an exciting tool that has received significant recent attention due in part to advances in quantum computing hardware.

• While there is currently no formal guarantee that QML is superior to classical ML for relevant problems, there have been many claims of an empirical advantage with high energy physics datasets.
• These studies typically do not claim an exponential speedup in training, but instead usually focus on an improved performance with limited training data.
• We explore an analysis that is characterized by a low statistics dataset.