Dataset: Observation of Anomalous Information Recovery in Deep Quantum Circuits via Dissipative Symmetry Locking

This repository contains the experimental source data supporting the findings in the manuscript "Observation of Anomalous Information Recovery in Deep Quantum Circuits via Dissipative Symmetry Locking". The data was generated using the IBM Quantum 'ibm_torino' (133-qubit) backend to validate the suppression of decoherence in deep circuits (depth ~ 150) via geometric parameter tuning. File Structure The dataset includes processed output statistics and parameter scan results corresponding to the figures in the main text: Source_Data_Fig1_Signal_Recovery_Statistics.json: Contains the survival probability distribution data comparing the critical point (gamma = 0.25) against the thermal baseline, demonstrating the >172% enhancement signal. Source_Data_Fig2_Finite_Size_Scaling.json: Scaling data across effective system sizes L = 16, 20, 24, 28, showing the data collapse at the critical fixed point. Source_Data_Fig3_High_Res_Parameter_Scan.json: High-resolution parameter sweep data (step size = 0.001) revealing the resonance well structure. Source_Data_Fig4_Noise_Robustness_Test.csv: Survival metrics under controlled noise injection (0%, 5%, 10%) verifying the Zeno-like stabilization. Supplementary_Data_Depth_Dependence.csv: Additional verification data tracking signal survival across varying circuit depths (depth = 30, 55, 80). Methodology All data points represent averaged survival probabilities derived from computational basis measurements. Raw bitstrings have been processed to extract the survival metric P(0) within the symmetry-selected sector. License This dataset is licensed under Creative Commons Attribution 4.0 International.