Work

Emergent Quantum Fluid Behavior From First Principles: Formation of a Stable Coherent Field Structure

Year: 2025
Type: article
Abstract: This paper presents a detailed computational study examining whether synthetic quantum-fluid phases can arise naturally under extreme physical conditions. Using a high-density, low-temperature simulation domain, the system evolves from first-principles parameters including 9.5e18 kg m3 density, 5.2 K temperature, 4800 GPa pressure, and a vacuum fluctuation amplitude of 1e-33. The model includes quantum fluctuation coupling, Bose Einstein emergence, phase transition tracking, long range coherence growth, and superfluid like behavior. Across a 16384 member ensemble and 65536 spatial resolution, the system consistently converges toward a stable 55 node attractor with zero topology variance and a global stability metric of 6.564. Analysis reveals long range coherence amplification, collapse of velocity field variance, narrowing of the energy spectrum, and formation of a reproducible quantum encoded structural blueprint characterized by ordered placeholder state classes H, D, Q, Phi, and Chi. The results indicate that coherent quantum-fluid phases can emerge in non atomic, ultra dense states without classical bonding or predefined molecular structure. The attractor consistency across all ensemble runs suggests a deep underlying symmetry preference and minimal energy configuration. These findings expand the theoretical landscape for quantum materials, exotic matter regimes, and engineered coherent phases. The study demonstrates that synthetic quantum-fluid behavior may be more universal than previously assumed, forming under both astrophysical and laboratory accessible conditions. This work provides one of the most complete computational demonstrations of synthetic quantum-fluid emergence under extreme density and low temperature regimes, highlighting potential applications in quantum materials, next generation energy transport concepts, and coherent phase engineering.
Author: Slawson, Drew
Language: English
Open Access status: green
OpenAlex ID: W7106793607
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