The reported 40 to 60 percent encoding-time reduction from three quantum-inspired relabeling strategies is contradicted by the paper's own measurements for several embedding types.
Machine learning: Quantum vs classical.IEEE Access, 8:219275–219294, 2020
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Quantum Inspired Encoding Strategies for Machine Learning Models: Proposing and Evaluating Instance Level, Global Discrete, and Class Conditional Representations
The reported 40 to 60 percent encoding-time reduction from three quantum-inspired relabeling strategies is contradicted by the paper's own measurements for several embedding types.