Quantum Data Statistics: An Operator-Theoretic Framework for Structured Uncertainty

Zenodo (CERN European Organization for Nuclear Research) 2026 Book Open access

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Authors: Pedro Caceres
DOI: 10.5281/zenodo.18122366
Cited by: 0

Abstract

This repository contains Python code implementing numerical simulations for the paper "Quantum Data Statistics: An Operator-Theoretic Framework for Structured Uncertainty". The code demonstrates how Quantum Data Statistics (QDS) — a novel operator-valued statistical framework — can detect and characterize bifurcations, chaos, and structural transitions in complex dynamical systems more sensitively than classical moment-based statistics.

Fields of Study & Subjects

Statistical Mechanics and Entropy Probabilistic and Robust Engineering Design Complex Systems and Time Series Analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Document type
Book