Quantum Graph Machine Learning - Research Intern

About Pasqal

PASQAL designs and develops Quantum Processing Units (QPUs) and associated software tools.
Our innovative technology enables us to address use cases that are currently beyond the reach of the most powerful supercomputers; these cases can concern industrial application challenges as well as fundamental science needs.
In addition to the exceptional computing power they provide QPUs are highly energy efficient and will contribute to a significant reduction in the carbon footprint of the HPC industry.

Job Description

OurGraph Quantum Machine Learning team islooking for an intern interested in the field of Machine Learning applied to Quantum Computing with a solid background in quantum algorithms and manybody physics to reinforce our team.

The team isa cuttingedge research team focused on advancing quantum computing and graph machine learning (ML). Their work leverages neutral atom quantum computers particularly Rydberg atom technology to solve complex problems in graph ML. These quantum systems naturally encode classical datalike graphs by trapping atoms in a threedimensional space allowing the exploration of novel approaches where quantum graph kernels and features can outperform classical methods.

This internship will involve developing quantum ML techniques using measurement outcomes from our neutral atom devices (see 1 for inspiration). You will work on deep learning models to simulate and predict the behavior of our quantum computing platform aiding in the rapid exploration and optimization of quantum processes. Youwill collaborate with experts in quantum computing graph ML and quantum simulations gaining handson experience in training ML models and understanding the intricacies of quantum computing with neutral atom devices.

1 Fitzek D. Teoh Y. H. Fung H. P. Dagnew G. A. Merali E. Moss M. S. ... & Melko R. G. (2024). RydbergGPT. arXiv preprint arXiv:2405.21052.

About you

You areactively enrolled in a PhD program in a related program (i.e quantum physics quantum computing machine learning) and have the following assets:

Hard skills:

• Experience with programming in Python
• Strong interest in quantum computing graph theory and cuttingedge technologies
• Machine Learning models in frameworks such as PyTorch JAX
• Experience with at least one of the following:: variational quantum algorithms (quantum) machine learning analog/digital quantum computing or simulation
• Excellent algorithm development and coding practices

Bonus:

• Previous research experience Masters thesis previous Internship or similar
• Experience using quantum hardware

• Strong documentation and report writing skills
• Clear and simple verbal and scientific communication
• Autonomy
• Proactive
• Team player

What we offer

• Offices in Amsterdam The Netherlands
• Type of contract: 6months internship
• A dynamic and closeknit international team
• A key role in a growing startup

Recruitment process

• An interview with our Talent Acquisition Specialist (30 mins)
• A coding test to prepare at home (optional)
• An technical interview with the Hiring Manager (45 mins)
• An offer!

PASQAL is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace as inclusion and diversity are essential to achieving our mission. We encourage applications from all qualified candidates regardless of gender ethnicity age religion or sexual orientation.