Precise numerical simulations of turbulent flows in practical applications are still challenging. A recent quantum-inspired computational method improves the way to account for the interscale correlations in turbulence, and further sheds light on the development of quantum computing algorithms for efficient turbulence simulations.
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References
Moin, P. & Mahesh, K. Annu. Rev. Fluid Mech. 30, 539–578 (1998).
Orszag, S. A. & Patterson, G. S. Phys. Rev. Lett. 28, 76–79 (1972).
Kim, J., Moin, P. & Moser, R. J. Fluid Mech. 177, 133–166 (1987).
Deck, S., Renard, N., Laraufie, R. & Weiss, P.-É. J. Fluid Mech. 743, 202–248 (2014).
Gourianov, N. et al. Nat. Comput. Sci. https://doi.org/10.1038/s43588-021-00181-1 (2022).
Ekert, A. & Knight, P. L. Am. J. Phys. 63, 415–423 (1995).
Baxter, R. J. J. Math. Phys. 9, 650–654 (1968).
Schollwöck, U. Ann. Phys. 326, 96–192 (2011).
Barratt, F. et al. npj Quantum Inf. 7, 79 (2021).
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Fukagata, K. Towards quantum computing of turbulence. Nat Comput Sci 2, 68–69 (2022). https://doi.org/10.1038/s43588-022-00189-1
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DOI: https://doi.org/10.1038/s43588-022-00189-1
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