arXiv (All)
open access
Quantum mutual information statistics for detecting dependence-structure change points in time series
Detecting when the dependence between two components of a multivariate time series changes, while the marginals drift freely, requires a dependence-specific statistic. We take the inferential object to be a density operator -- the trace-normalised second moment of unit-norm random Fourier features o
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Quantum mutual information statistics for detecting dependence-structure change points in time series#920682
- Quantifying and Bounding Spatiotemporal Correlations in Quantum Noise#1011585
- Sensitivity of entanglement measures in bipartite pure quantum states#81964
- Quantum-Informed Machine Learning for Predicting Spatiotemporal Chaos with Practical Quantum Advantage#163174
- Dynamically Emergent Correlations#408725
Record · ID 924916
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive