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Machine Learning Intern, Rydberg-Based Quantum Simulators
PASQALIntern role in quantum software focusing on machine learning applications with Pasqal's quantum processing units. Developer training and benchmarks for hybrid quantum-classical approaches in a collaborative environment.
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Develop and train Neural Quantum States (NQS + VMC), with pretraining of the NQS on QPU-generated datasets.
- Benchmark this approach against established numerical methods (e.g., exact diagonalization, standard VMC, tensor networks) and against raw QPU data.
- Apply NQS to represent observables and many-body wave functions of magnetic Hamiltonians.
- Contribute to internal tools and publications.
Requirements
What you’ll need- Master or PhD student in quantum many-body physics.
- Proficiency in one or more programming languages such as Python or Julia.
- Demonstrated experience with machine learning methods applied to quantum many-body systems (e.g., neural quantum states, supervised and unsupervised ML, kernel methods).
- Experience with numerical methods for quantum spin systems (e.g., exact diagonalization and variational Monte Carlo).
- Familiarity with scientific computing frameworks (e.g., JAX, PyTorch, TensorFlow).
- Experience working with high-performance computing (HPC) environments.
- Ability to work collaboratively in a research team.
- Strong communication skills in English.
Benefits
Comp & perks- Hands-on experience with Pasqal’s analog QPU and emulator stack used to model such devices.
- The opportunity to learn important aspects of Pasqal’s quantum hardware.
- Mentorship from a multidisciplinary team (quantum many-body physics, machine learning, materials science).
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Neural Quantum StatesVariational Monte Carlomachine learningnumerical methodsquantum many-body systemsexact diagonalizationsupervised MLunsupervised MLkernel methodsscientific computing
Soft Skills
collaborative workstrong communication skills
Certifications
Master's degreePhD