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This study advances quantum hydrodynamics by incorporating many-body effects into models that previously relied on simplified mean-field approximations for ultracold fluids. By extending these descriptions beyond critical temperature thresholds, the research provides a more accurate framework for understanding turbulence in superfluids using platforms like atomic gases and quantum simulators. This fundamental shift enables better characterization of complex quantum dynamics relevant to future quantum computing architectures.
Stanford University Team Models Many-Body Effects for Turbulent Quantum Hydrodynamics

Turbulent flow in quantum fluids typically relies on approximations that break down at extremely low temperatures. Extending hydrodynamic descriptions beyond these limits, this work proposes investigating many-body quantum effects and their impact on turbulence. Ultracold atoms and quantum computing offer potential platforms to explore this previously inaccessible regime and unlock new insights into complex quantum dynamics.
Scientists led by Sayak Bhattacharjee at Stanford University, in collaboration with the Indian Institute of Technology, Stockholm University, University of Connecticu, are presenting a new understanding of quantum turbulence in superfluids. The study moves beyond traditional mean-field theories to explore many-body effects at extremely low temperatures, offering a condensed-matter perspective on turbulent hydrodynamics. This research focuses on systems like ultracold atoms and holds potential implications for the development of quantum computing platforms. The findings address fundamental questions about quantum turbulence and propose avenues for utilising modern quantum many-body techniques…
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