ORNL cuts quantum gate needs for fluid models by 95%
Oak Ridge National Lab researchers built a quantum algorithm, called LuGo, that slashes the number of quantum gates needed for fluid-flow simulations by over 95%. They reduced the gate count from 2 million to just 91,000 by running more calculations on classical computers first. The work, validated in simulations and early tests on quantum processors, could lead to faster, more precise modeling in fields like microfluidics and groundwater flow.
- LuGo precomputes on classical computers to reduce quantum gates
- Gate count dropped from 2 million to 91,000
- Algorithm tested in simulation and on quantum hardware
- Potential uses in microfluidics and porous media flow
- Received a 2026 R&D 100 award for innovation
Sources covering this
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