A Quantum-Classical Hybrid Framework for Secure and Energy-Efficient Multi-Planetary Hazard Detection
Abstract
This dataset contains the research data and supporting materials associated with the article "A Quantum-Classical Hybrid Framework for Secure and Energy-Efficient Multi-Planetary Hazard Detection" by Debnil Pal, Sumit Saha, Palash Dutta, Raja Karmakar, and Gouranga Mandal.The dataset provides the numerical source data supporting the main quantitative results reported in the study. In particular, it includes the underlying data used to generate Figure 3 (Energy Consumption Profile of Hybrid System) and Figure 4 (QFI Retention vs Qubit Count). It also contains supporting results from the Variational Quantum Autoencoder (QAE), Quantum Fisher Information (QFI) analysis, BB84 Quantum Key Distribution (QKD) simulation, and Quantum-Enhanced Feature Compression (QEFC) analysis.The lunar images used in the training and feature-extraction pipeline were obtained from publicly available ISRO/ISSDC PRADAN and NASA Moon image resources. The original third-party images are not redistributed in this dataset and remain available from their respective data providers. Information about these data sources and how they were used in the study is provided in the accompanying DATA_SOURCES.md file.The energy values presented in Figure 3 are based on analytical and simulation-derived system modelling and do not represent direct physical measurements from flight hardware. The QFI results presented in Figure 4 are generated by quantum simulation results.The repository includes numerical source data in…
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