5 papers
Conservation-Syndrome Quantum Error Correction for Lattice-Boltzmann Quantum Algorithms
Muhammad Idrees Khan
Reliable multistep quantum lattice-Boltzmann evolution requires controlling computational faults. When ideal collision preserves encoded mass and momentum exactly, changes in those…
Autonomous Lindblad Realizability of Nonunitary Linear Dynamics with a Carleman Lattice Boltzmann Application
Muhammad Idrees Khan
Carleman lifting converts nonlinear polynomial dynamics into finite linear systems, but the resulting truncations are generally nonunitary and need not correspond to physical quant…
Quadrature-Aware Complex-Linear Neural Operator for Boundary-to-Field Prediction in Resonant Acoustics
Muhammad Idrees Khan, Hua-Dong Yao
Repeated prediction of acoustic fields from spatially distributed boundary excitation is computationally expensive when each source realization requires a new wave simulation. This…
Deterministic Realization of Classical Dissipation on Quantum Computers
Muhammad Idrees Khan, Sauro Succi, Hua-Dong Yao
Lattice Boltzmann (LB) on quantum devices must reconcile unitary gate evolution with the dissipative \emph{collision} step. In the multiple-relaxation-time (MRT) class, we work in…
Physics-Constrained Neural Closure for Lattice Boltzmann Large-Eddy Simulation
Muhammad Idrees Khan, Sauro Succi, Hua-Dong Yao +1
We present a physics-constrained, data-driven subgrid-scale (SGS) stress closure for large-eddy simulation (LES) in the lattice Boltzmann method (LBM). Trained on filtered-downsamp…