Quantum learning: asymptotically optimal classification of qubit states

DOI10.1088/1367-2630/12/12/123032zbMath1448.68386arXiv1004.2468OpenAlexW3121994823MaRDI QIDQ5135186

Madalin I. Guta, Wojciech Kotłowski

Publication date: 19 November 2020

Published in: New Journal of Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1004.2468

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Quantum coherence, entanglement, quantum correlations (81P40) Entanglement measures, concurrencies, separability criteria (81P42)

Related Items (3)

Pattern recognition in non-Kolmogorovian structures ⋮ Quantum decision tree classifier ⋮ Constructing a qubit POVM from quantum data

Uses Software

• ElemStatLearn
• PRMLT

Cites Work

• Quantum detection and estimation theory
• Fast learning rates for plug-in classifiers
• Local asymptotic normality for finite dimensional quantum systems
• Asymptotic methods in statistical decision theory
• PRMLT
• Optimal estimation of qubit states with continuous time measurements
• Local asymptotic normality in quantum statistics
• Quantum Measurement and Control
• Asymptotic Statistics
• On Quantum Statistical Inference
• Classical randomness in quantum measurements
• Quantum State Estimation
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