A classically-enriched quantum floating-point variable stores offset and scaling classically, reducing approximation error by up to 89% after repeated additions compared to prior mono-quantum coding.
Optimal tuning of quantum generative adversarial networks for multi- variate distribution loading,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
quant-ph 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Hybrid quantum floating-point method for sharp arithmetic
A classically-enriched quantum floating-point variable stores offset and scaling classically, reducing approximation error by up to 89% after repeated additions compared to prior mono-quantum coding.