Algorithmic Screening of Materials for Rydberg Quantum Simulators internship - W/M
Pasqal designs and develops QPUs and associated software tools. Our innovative technology enables us to address use cases that are currently beyond the reach of most powerful supercomputers.
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)
- Département
- Software
- Poste
- Quantum Materials
- Localisations
- Massy, France
- Statut à distance
- Hybride
- Type de contrat
- Stage
- Département
- Algorithms & Use Cases
- Équipe
- Quantum Software
- Ancienneté
- Intern
À propos de Pasqal
Join Pasqal and be part of something extraordinary.
By joining Pasqal, you’ll have the opportunity to play an active role in the rapid growth of a pioneering DeepTech scale-up at the forefront of the second quantum revolution.
You’ll be directly involved in one of the greatest technological challenges of our time—one that is set to shape the technological landscape of the 21st century.
Working alongside world-class scientists and engineers, you’ll compete head-to-head with leading global players while pushing the boundaries of quantum innovation.