Preprint
Aug 2026
Efficient Treatment of Non-Linearity in Quantum Computational Fluid Dynamics Using Hybrid Tensor Networks
This work presents a hybrid quantum-classical tensor network algorithm that addresses this bottleneck by combining variational time-stepping with quantum tensor programming to efficiently compile operators and time-dependent fields into quantum circuits.
Pia Siegl, Nis-Luca van Hülst, Maximilian Mandelt Buxad'e et al.
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