Remote Quantum Computing Intern: Fluid Dynamics Algorithms

Quandela; Massy; Híbrido; EUR 13 000 - 16 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Swile Card (meal vouchers)

50% transportation costs

Possibility of remote work

Resumo da oferta

Quandela seeks an intern in the AQEFLU project to explore quantum algorithms for fluid-flow simulations. You will collaborate with the Applications Team, Theory and Software Development, turning research ideas into implementable methods and evaluating them on simulators and quantum processors.

The role focuses on developing and evaluating quantum algorithms for differential equations, addressing nonlinearity, boundary conditions and initial-state preparation in simplified fluid models.

Qualificações

• Enrolled in an engineering school or university in France, seeking an internship during a gap year or the second year of a Master’s programme.
• Background in physics, applied mathematics, quantum information or a related field.
• Coursework or project experience in quantum computing.
• Knowledge of numerical simulation, fluid mechanics or lattice Boltzmann methods would be an advantage.

Responsabilidades

• Review quantum algorithms for differential equations and assess their relevance to fluid dynamics.
• Participate in the development and implementation of quantum or hybrid quantum–classical algorithms.
• Investigate methods for handling nonlinearities, boundary conditions and initial-state preparation.
• Benchmark algorithms against classical reference solutions, assessing accuracy, resource requirements and scalability.
• Where feasible, test selected approaches on photonic quantum processors.

Conhecimentos

Python

NumPy

SciPy

Linear algebra

Numerical methods

Git

Quantum algorithms

Formação académica

Engineering school in France

Gap year internship or M2

Ferramentas

Git

Descrição da oferta de emprego

Quandela seeks an intern in the AQEFLU project to explore quantum algorithms for fluid-flow simulations. You will collaborate with the Applications Team, Theory and Software Development, turning research ideas into implementable methods and evaluating them on simulators and quantum processors.

The role focuses on developing and evaluating quantum algorithms for differential equations, addressing nonlinearity, boundary conditions and initial-state preparation in simplified fluid models.