{"ID":2826215,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.19272","arxiv_id":"2512.19272","title":"Sonified Quantum Seizures. Sonification of time series in epileptic seizures and simulation of seizures via quantum modelling","abstract":"We apply sonification strategies and quantum computing to the analysis of an episode of seizure. We first sonify the signal from a selection of channels (from real ECoG data), obtaining a polyphonic sequence. Then, we propose two quantum approaches to simulate a similar episode of seizure, and we sonify the results. The comparison of sonifications can give hints on similarities and discrepancies between real data and simulations, helping refine the \\textit{in silico} model. This is a pioneering approach, showing how the combination of quantum computing and sonification can broaden the perspective of real-data investigation, and helping define a new test bench for analysis and prediction of seizures.","short_abstract":"We apply sonification strategies and quantum computing to the analysis of an episode of seizure. We first sonify the signal from a selection of channels (from real ECoG data), obtaining a polyphonic sequence. Then, we propose two quantum approaches to simulate a similar episode of seizure, and we sonify the results. Th...","url_abs":"https://arxiv.org/abs/2512.19272","url_pdf":"https://arxiv.org/pdf/2512.19272v1","authors":"[\"Maria Mannone\",\"Paulo Vitor Itaborai\",\"Omar Costa Hamido\",\"Miriam Goldack\",\"Norbert Marwan\",\"Peppino Fazio\",\"Patrizia Ribino\"]","published":"2025-12-22T11:08:04Z","proceeding":"quant-ph","tasks":"[\"quant-ph\",\"cs.ET\",\"cs.SD\"]","methods":"[]","has_code":false}