Quantum-inspired probabilistic database corruption detection

DOI10.1142/s0129626423400145zbMATH Open1543.68101MaRDI QIDQ6535438

Roberto Salazar

Publication date: 2 January 2024

Published in: Parallel Processing Letters (Search for Journal in Brave)

zbMATH Keywords

machine learningprobabilistic databasesquantum contextualitycorruption detection

Mathematics Subject Classification ID

Database theory (68P15) Learning and adaptive systems in artificial intelligence (68T05) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Cites Work

• Unnamed Item
• Unnamed Item
• YAGO2: a spatially and temporally enhanced knowledge base from Wikipedia
• Unbounded violations of bipartite Bell inequalities via operator space theory
• Class noise vs. attribute noise: A quantitative study of their impacts
• On the Desirability of Acyclic Database Schemes
• Graph Implementations for Nonsmooth Convex Programs
• Linear Programming
• On Information and Sufficiency
• The rank of contextuality

Related Items (1)

Quantum-based modelling of database states

This page was built for publication: Quantum-inspired probabilistic database corruption detection