Algorithmic Screening of Materials for Rydberg Quantum Simulators internship - H/F

Beschreibung:

About the team
The Quantum material department at Pasqal develop hybrid quantum classical algorithms with applications in material science and quantum many-body physics and that can be run on Pasqal neutral atom quantum processing units.
We are offering an internship position to work on developing an algorithmic pipeline to identify materials compatible with Rydberg quantum simulators. This multidisciplinary project will involve different aspects such as accessing material databases, developing screening procedures, many-body physics.

Mission
* Survey and access existing materials databases (e.g., Materials Project, C2DB).
* Design and implement a screening pipeline for materials compatible with Rydberg simulators.
* Map candidate materials onto effective spin Hamiltonians (e.g., Ising, XY).
* Collaborate with the team on validating candidates via emulators.
* Document and benchmark the pipeline.
* Contribute to internal tools and publications.

What we offer
* Hands-on experience with Pasqal's analog QPU and emulator stack.
* The opportunity to learn aspects related to material science as well as Pasqal's quantum hardware.
* Mentorship from a multidisciplinary team (quantum many-body physics, machine learning, materials science).

Required Qualifications
Hard Skills
* Master or PhD student in quantum many-body physics.
* Proficiency in one or more programming languages such as Python.

Nice to Have
* Experience with many-body physics
* Familiarity with magnetism and/or effective spin Hamiltonians (e.g., Heisenberg, Ising, XY)
* Basic familiarity with electronic-structure methods (DFT) or solid-state physics
* Familiarity with scientific computing frameworks (e.g., JAX, PyTorch, TensorFlow)
* Experience with machine learning methods
* Experience handling structured/scientific data (databases, APIs, JSON, HDF5)

Soft Skills
* Ability to work collaboratively in a research team.
* Strong communication skills in English.
Logistics
* Duration: 6 months
* Expected starting date: second semester of 2026
* Location: Massy (France)