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07/13/2023
Spey: smooth inference for reinterpretation studies
Statistical models are at the heart of any empirical study for hypothesi...
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11/07/2022
Quantum-probabilistic Hamiltonian learning for generative modelling anomaly detection
The Hamiltonian of an isolated quantum mechanical system determines its ...
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05/23/2022
Identifying (anti-)skyrmions while they form
We use a Convolutional Neural Network (CNN) to identify the relevant fea...
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02/21/2022
Classical versus Quantum: comparing Tensor Network-based Quantum Circuits on LHC data
Tensor Networks (TN) are approximations of high-dimensional tensors desi...
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06/15/2021
Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States
Tensor Networks are non-trivial representations of high-dimensional tens...
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03/26/2021