A new matrix-product state (MPS) solver developed by Felipe Gómez-Lozada and colleagues reduces the computational cost of simulating quantum turbulence, achieving a 10,000-fold reduction in memory usage compared to direct numerical simulations. The t
MPS Solver Cuts Quantum Turbulence Memory Use By 10000×
A new matrix-product state (MPS) solver compresses wavefunctions for quantum turbulence simulations, reducing memory use by up to 10,000× compared to.
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