Tensor-network fractional-step method simulates incompressible flows in curvilinear coordinates with up to 20x field compression and 1000x operator compression while keeping errors below 0.3% versus finite differences.
Appendix A) ∂x = 1 J (∂ηz)∂ξ − (∂ξz)∂η , (21) where J is the Jacobian determinant J = (∂ξx)(∂ηz) − (∂ηx)(∂ξz)
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Quantum-Inspired Tensor-Network Fractional-Step Method for Incompressible Flow in Curvilinear Coordinates
Tensor-network fractional-step method simulates incompressible flows in curvilinear coordinates with up to 20x field compression and 1000x operator compression while keeping errors below 0.3% versus finite differences.