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- W3010354705 abstract "We propose a novel quantum technique to search for unmodelled anomalies in multi-dimensional binned collider data. We propose to associate an Ising lattice spin site with each bin, with the Ising Hamiltonian suitably constructed from the observed data and a corresponding theoretical expectation. In order to capture spatially correlated anomalies in the data, we introduce spin-spin interactions between neighboring sites, as well as self-interactions. The ground state energy of the resulting Ising Hamiltonian can be used as a new test statistic, which can be computed either classically or via adiabatic quantum optimization. We demonstrate that our test statistic outperforms some of the most commonly used goodness-of-fit tests. The new approach greatly reduces the look-elsewhere effect by exploiting the typical differences between statistical noise and genuine new physics signals." @default.
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- W3010354705 date "2023-01-01" @default.
- W3010354705 modified "2023-10-18" @default.
- W3010354705 title "A Quantum Algorithm for Model-Independent Searches for New Physics" @default.
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- W3010354705 doi "https://doi.org/10.31526/lhep.2023.301" @default.
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