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Abe-Kuya Lab (Fluid Dynamics)
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The lab explores fluid dynamics using quantum computing and numerical computation methods.
AboutAbout the lab
Connecting fluid dynamics, quantum computing, and turbulence modeling.
The Abe-Kuya Lab studies computational methods and turbulence models for computational fluid dynamics, and applications of quantum computers to fluid dynamics.
The lab works on using quantum annealing for flow computation, shape optimization, and machine learning, and on methods that compute stably without adding numerical viscosity.
In January 2025, Associate Professor Yuichi Kuya joined, and the lab was relaunched in a new form.
Key terms
- Computational fluid dynamics
- Also called CFD, a computational method for solving flow fields by computer.
- Quantum annealing
- A computing method for quantum computers specialized for combinatorial optimization problems that minimize a cost function.
- Numerical viscosity
- Viscosity added numerically to keep a calculation stable. Its non-physical effects make high-accuracy computation difficult.
- Immersed boundary method
- A method that computes flows without building a grid that exactly fits the shape of the object. It handles objects whose shape changes easily.
ResearchResearch themes
The lab develops methods for studying flows by computer calculation and applies quantum computers to fluid dynamics. Graduate students mainly work on quantum annealing and new numerical methods, and undergraduates on analysis of flow around objects.
*Illustrative imageApplying quantum annealing to fluid dynamics
Quantum annealing computers are machines specialized for combinatorial optimization problems, but their application to fluid dynamics has hardly been explored. The lab studies applications to flow computation, shape optimization, and machine learning.
*Illustrative imageStable, non-dissipative flow computation methods
In flow computation, numerical viscosity is generally added to keep the calculation stable, but its non-physical effects make high-accuracy computation difficult. The lab is developing methods that compute stably without adding numerical viscosity.
*Illustrative imageFlow analysis around complex-shaped objects
The immersed boundary method computes flows without building a grid that fits the shape of the object. It makes simulations in which the shape changes from moment to moment relatively easy, and the lab uses it to compute fish-like bodies swimming in a small tank.
*Illustrative imageFlow analysis around moving objects
In typical flow computation, the object is held fixed and the flow around it is found. In this research, the object's motion is represented by external forces and the like, so that an object moving relative to the flow is reproduced in a pseudo manner.
MembersFaculty
The members of the Abe-Kuya Lab are faculty and PhD, master's, and undergraduate students.As of 2026
- ProfessorKenichi Abe
- Associate ProfessorYuichi Kuya
- Assistant ProfessorHisashi Kihara
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Computational fluid dynamics analysis of material flow using a conventional friction stir welding tool © Mike Lewis and Simon Smith, OxCAM, CC-BY-SA 4.0” aiCAMstir / CC BY-SA 4.0 (cropped)
- Applying quantum annealing to fluid dynamics: “D-Wave Two 512 qubit Vesuvius chip” Steve Jurvetson / CC BY 2.0 (cropped)
- Stable, non-dissipative flow computation methods: “X-43A (Hyper - X) Mach 7 computational fluid dynamic (CFD)” NASA / Public domain (cropped)
- Flow analysis around complex-shaped objects: “1934 Desoto Airflow ( )” David Berry from Rohnert Park CA, USA / CC BY 2.0 (cropped)
- Flow analysis around moving objects: “Fjordn surface wave boat” Edmont / CC BY-SA 3.0 (cropped)
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