Publication briefs
Publication type: Report
Authors: Rui A. P. Perdigão, and Julia Hall
Date: 2024, December 9th
Title: Empowering Next-Generation Synergies among Models and Data with Information Physical Quantum Technological Intelligence
DOI: https://doi.org/10.46337/241209
Indexed: Yes (Crossref)
Cite as: Perdigão, R.A.P.; Hall, J. (2024): Empowering Next-Generation Synergies among Models and Data with Information Physical Quantum Technological Intelligence. https://doi.org/10.46337/241209
Methodological Keywords: Systems Intelligence, Information Physics, Information Theory, Complex Systems, Mathematical Physics, Data Assimilation, Model Design, Quantum Thermodynamics, Quantum Electrodynamics, Quantum Technologies, Quantum Gravitation.
Applied Keywords: Multi-Hazards, Risk, Resilience, Aerospace Engineering, Big Data Analytics, Artificial Intelligence, Physical Intelligence, Machine Learning, Natural Hazards, Extreme Events, Quantum Information Technologies, Quantum Satellites, Quantum Constellation, Quantum Interferometry, Quantum Sensing.
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Notes
An overview of this work, from theoretical foundations to geophysical applications, is presented at the American Geophysical Union (AGU) Annual Meeting 2024, Washington, DC, USA, on December 9th, 2024.
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