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This hybrid approach leverages Frontier's classical exascale power to preprocess data, drastically cutting the circuit depth required for quantum fluid dynamics simulations by over 95%. By offloading heavy initialization routines to classical nodes, LuGo mitigates noise and decoherence risks, offering a viable pathway for complex high-dimensional simulations on current noisy intermediate-scale quantum hardware.

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ORNL Develops LuGo Algorithm on Frontier Supercomputer, Reducing Quantum Circuit Gate Counts by 95% for Computational Fluid Dynamics

Quantum Computing ReportOctober 2, 20262 min read

Scientists at Oak Ridge National Laboratory (ORNL) developed LuGo, an algorithm that significantly reduces the number of quantum gate operations needed for computational fluid dynamics (CFD) by over 95%. This was achieved by using classical supercomputers like Frontier for heavy initialization routines before quantum processing, cutting down 2,000,000 logic gates to 91,000. LuGo was validated on various quantum hardware platforms and is a step towards practical high-dimensional fluid simulations on quantum processors. The post ORNL Develops LuGo Algorithm on Frontier Supercomputer, Reducing Quantum Circuit Gate Counts by 95% for Computational Fluid Dynamics appeared first on Quantum Computing Report.

Computational scientists at the Oak Ridge National Laboratory (ORNL) have introduced LuGo, an enhanced Quantum Phase Estimation (QPE) algorithmic framework designed to mitigate circuit-depth bottlenecks in quantum computational fluid dynamics (CFD). Developed using the Department of Energy’s (DOE)…

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