Reconstructed Efficiency Parameters from Superconducting Qubit Relaxation Data

This dataset contains reconstructed efficiency parameters derived from publicly available relaxation measurements of superconducting qubit systems operated on IBM quantum processors (Fez and Marrakesh backends). The dataset is based on entropy-like and energy-proxy quantities reported by the hardware during irreversible relaxation following state preparation. Informational entropy changes are reconstructed using standard information-theoretic normalization, and an effective efficiency parameter is inferred by comparing dissipated energy to entropy production scaled by thermal bandwidth. The analysis is presented independently of any interpretive or foundational framework. It is intended to support quantitative characterization of thermodynamic efficiency in quantum measurement and relaxation processes and to enable reproducibility and cross-platform comparison by other researchers. All reconstruction steps, assumptions, and aggregation procedures are documented within the dataset.Used as validation example in A Minimal Admissibility Constraint for Irreversible Physical UpdatesThis dataset is used as a proof-of-concept validation in a study of admissibility constraints for irreversible physical updates. It demonstrates operational extraction of energetic cost, informational entropy change, and an effective bandwidth proxy in a controlled quantum platform. The dataset does not assert universality or invariance across domains and is not tied to any particular interpretation of quantum measurement.