qFLOW Recruits Postdocs For Quantum Fluid Algorithms
The qFLOW project (Helmholtz Quantum Use Challenge) is recruiting postdoctoral researchers to develop quantum and hybrid quantum–classical algorithms for PDE- and ODE-based models in fluid dynamics and environmental systems, with an application deadline of Tuesday, February 10, 2026. The collaboration between HZDR, UFZ, DESY and FZJ emphasizes algorithmic development—VarQITE, quantum lattice Boltzmann, tensor-networks and physics-informed machine learning—and provides access to HPC, GPU emulation and IBM/JUNIQ hardware for prototype implementations.
Key Points
- 1Recruiting postdoctoral researchers to develop quantum and hybrid algorithms for PDE/ODE fluid and environmental models
- 2Emphasizing algorithmic foundations (VarQITE, quantum lattice Boltzmann, tensor networks) over large-scale advantage demonstrations
- 3Provides access to HPC, GPU emulation and IBM/JUNIQ hardware enabling prototype implementations and testing
Scoring Rationale
Strong institutional credibility and direct opportunities for practitioners, limited novelty as a targeted recruitment announcement.
Sources
Public references used for this report.
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