M2 Internship, with PhD continuation (CIFRE): Quantum Algorithms for the Many-Body Problem on Silicon Spin Qubits

About the role

M2 Internship, with PhD continuation (CIFRE): Quantum Algorithms for the Many-Body Problem on Silicon Spin Qubits

Quantum engineering

Grenoble

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Internship

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Oct 21, 2026

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What awaits you every day at Quobly

A 6-month Master 2 internship is available at the intersection of quantum computing and quantum chemistry. It is jointly supervised by Quobly (Grenoble), the CNRS LOMA laboratory (Bordeaux) and the IPCMS laboratory (Strasbourg). The internship is intended to lead to a CIFRE PhD with Quobly on the same topic.

Context

Simulating interacting electrons, the quantum many-body problem, is one of the most promising applications of quantum computers, with potential impact on materials science and quantum chemistry. Running such algorithms on real hardware raises specific challenges: noise, limited connectivity and native gate sets all depend on the qubit technology. Quobly develops quantum processors based on silicon spin qubits and has released SpinPulse, a library for transpilation and noise-accurate simulation of spin qubit quantum computers. ¹

Technical Challenges

Internship objectives

The goal is to implement a quantum algorithm for a small many-body problem and evaluate how it performs under realistic spin qubit noise. The internship will proceed in four steps:

• Getting started: study the relevant literature on variational and subspace-based quantum algorithms, ²⁻⁴ and get familiar with SpinPulse and standard quantum computing tools.
• Implementation: implement a quantum subspace (Krylov-type) method + QPE for small benchmark systems.
• Noisy simulation and benchmarking: simulate their execution on silicon spin qubits with SpinPulse. Quantify the impact of noise on accuracy and resource cost, and compare the algorithms.
• Reporting: write a report and present the results to the Quobly, LOMA and IPCMS teams.

Perspectives

The internship is designed as the first step of a CIFRE PhD with Quobly. The PhD would extend this work toward larger systems, advanced error mitigation strategies, resource optimization and, where possible, experimental validation on Quobly’s quantum devices. Continuation into the PhD is subject to the evaluation of the internship and the CIFRE funding agreement.

Practical information

• Location: Quobly, Grenoble, with regular interactions with the LOMA (Bordeaux) and IPCMS (Strasbourg) teams
• Duration: 5-6 months
• Start date: Q1 2027

You Are Special Because

• You are enrolled in a Master 2 or a final-year engineering program in quantum or condensed-matter physics, or in quantum or theoretical chemistry, or quantum information.
• You have a solid background in quantum mechanics and a genuine interest in quantum computing.
• You are comfortable with Python programming, since the project relies heavily on numerical simulations.
• Experience with quantum computing frameworks (e.g., Qiskit, Cirq, PennyLane) or quantum chemistry software (e.g., OpenFermion, PySCF, Psi4) is a plus, but not required.
• You are curious and motivated, and you enjoy working at the interface between fundamental research and technological development.

References

1. Vermersch, B. et al. The SpinPulse library for transpilation and noise-accurate simulation of spin qubit quantum computers. Preprint at https://doi.org/10.48550/arXiv.2601.10435 (2026).
2. Akande, H. A., Perrin, A., Senjean, B. & Saubanere, M. Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions. Phys. Rev. A 112, 032623 (2025).
3. Oumarou, O., Ollitrault, P. J., Polla, S. & Gogolin, C. Optimizing and Comparing Quantum Resources of Statistical Phase Estimation and Krylov Subspace Diagonalization. Preprint at https://doi.org/10.48550/arXiv.2603.15552 (2026).
4. Rammal, H. et al. Orthogonal Quantum Krylov Diagonalisation. Preprint at https://doi.org/10.48550/arXiv.2607.09476 (2026).

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Working at Quobly also means

• Working in Grenoble, home to some of the fastest-moving tech and industrial companies around, and a great base camp for a wide range of activities from outdoor and mountain sports to arts and culture.
• Grenoble offers an affordable lifestyle, ensuring you can plan for a comfortable future while advancing your career with us.
• The opportunity to develop in-demand skills alongside the best researchers in their fields.
• A collaborative work environment and a company culture where trust is paramount and where individual contributions are recognized.
• Presenting at international conferences to share our latest results.
• Work-life balance, with a standard package of 213 workdays per year.
• Work from home up to four days per week, depending on the position.
• Employer contribution to public transportation (75% covered) passes and human-powered mobility solutions.

Discover Quobly

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Excited about this opportunity? Apply now and join Quobly's innovative team!

Recruitment process

1

Application

Submit your resume and cover letter through our online portal. Our team carefully reviews each application.

2

First contact

Initial discussion with the recruitment team to present the company and the position (approximately 30 minutes, by phone or video call)

3

Meet the team

Interview with the team manager (approximately 1 hour)

4

Final interview

Interview with the Head of the Department (approximately 1 hour)

5

A swift response

You will receive an offer in the shortest possible timeframe.

6

Onboarding

Welcome to the team! We're thrilled to have you join us on this exciting journey. Get ready to collaborate, innovate, and make a real impact.

Source: Quobly's careers page via Html. Read by TQI on 1 Nov 2026.