Publication briefs
Publication type: Report
Authors: Rui A. P. Perdigão, and Julia Hall
Date: 2024, January 18th
Title: Synergistic Nonlinear Quantum Wave Intelligence Networks (SyNQ-WIN)
DOI: https://doi.org/10.46337/240118
Indexed: Yes (Crossref)
Cite as:
Perdigão, R.A.P.; Hall, J. (2024): Synergistic Nonlinear Quantum Wave Intelligence Networks (SyNQ-WIN). https://doi.org/10.46337/240118
Methodological Keywords: Systems Intelligence, Information Physics, Information Theory, Complex Systems, Mathematical Physics, 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) Fall Meeting 2023. Here, we introduce and demonstrate key features of SyNQ-WIN – Synergistic Nonlinear Quantum Wave Intelligence Networks – our new synergistic systems intelligence platform allying our latest advances and emerging pathways on nonlinear information physics, systems intelligence and quantum technologies, on Earth and in Space, with multi-scale multi-domain Earth System Dynamic challenges in mind.
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