QodeX Quantum, NSWC Panama City, NVIDIA and RTX BBN Forecast a 33,824-Cell Cylinder Flow on 26 Qubits and Gray-Scott on 52 Qubits, arXiv 2611.10351, 7 November 2026: TRL 3
Defense Henry Quentir Defense Henry Quentir

QodeX Quantum, NSWC Panama City, NVIDIA and RTX BBN Forecast a 33,824-Cell Cylinder Flow on 26 Qubits and Gray-Scott on 52 Qubits, arXiv 2611.10351, 7 November 2026: TRL 3

Erik Connerty, Jonathan Eastridge, Taylor Patti, Gerasimos Angelatos and Ethan N. Evans of QodeX Quantum, Naval Surface Warfare Center Panama City Division, NVIDIA and RTX BBN posted to arXiv on 7 November 2026 a quantum reservoir network run on up to 52 qubits of IBM's ibm_boston that forecasts a 33,824-cell cylinder wake at Reynolds number 1000 and a Gray-Scott reaction-diffusion system. Measure-and-reset keeps the circuits running about 24 times longer than the qubits' coherence, and the quantum features cut one-step error by 21 to 43 percent against a linear readout. This post reads the paper as dual-use quantum fluid-dynamics forecasting at TRL 3, explains why the authors themselves claim no speedup over classical solvers, and lists the matched classical baseline, the longer rollout and the 3D flow forecast a program office should wait for.

Read More
Peking University Puts Solid Walls Into a Quantum Fluid Solver: the Quantum Lattice Boltzmann Paper of 5 September 2026 and Its Emulated Flows at Reynolds 6 to 71
Defense Henry Quentir Defense Henry Quentir

Peking University Puts Solid Walls Into a Quantum Fluid Solver: the Quantum Lattice Boltzmann Paper of 5 September 2026 and Its Emulated Flows at Reynolds 6 to 71

On September 5, 2026, Peking University's turbulence laboratory posted a quantum lattice Boltzmann method that carries solid walls, inlets and outlets inside the quantum computation, the ingredient separating quantum flow demonstrations from real geometry. We read its 23-qubit Poiseuille case at Reynolds 6.37 and its larger emulated flows up to Reynolds 71 as a dual-use step toward computational fluid dynamics on quantum machines, and measure the distance from a noiseless emulator to the turbulent, high-Mach regimes where aerodynamic design actually lives.

Read More
A Quantum Fluid Solver Gets an Exascale Reality Check
Defense Henry Quentir Defense Henry Quentir

A Quantum Fluid Solver Gets an Exascale Reality Check

An Oak Ridge team ran a variational quantum linear solver for fluid dynamics end to end on the Frontier exascale machine and published the honest bill: memory costs cut over a thousandfold, circuit design rules that fail to predict convergence, and every qubit still emulated. For the discipline behind hypersonic flow simulation, it is the first production-scale accounting of what a quantum CFD pipeline actually costs.

Read More