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

Quobly; Grenoble; On-site; EUR 13,000 - 17,000; Full time

Benefits offered by this job

Work from home up to four days perweek

75% bus/train transport passes covered

Job summary

Quobly in Grenoble offers a 6-month M2 internship aiming at CIFRE PhD continuation in quantum algorithms for the many-body problem on silicon spin qubits. The position blends quantum computing and quantum chemistry, with co-supervision from CNRS LOMA (Bordeaux) and IPCMS (Strasbourg).

The project progresses through literature study, implementation of a Krylov-type subspace method with QPE, noisy simulations on SpinPulse, and reporting results to the collaborating teams.

Qualifications

• Enrolled in a Master 2 or final-year engineering program in quantum or condensed-matter physics, or in quantum or theoretical chemistry, or quantum information.
• Solid background in quantum mechanics and genuine interest in quantum computing.
• Comfort with Python programming and numerical simulations.

Responsibilities

• Study the literature on variational and subspace-based quantum algorithms and get familiar with SpinPulse and standard quantum computing tools.
• Implement a quantum subspace (Krylov-type) method plus QPE for small benchmark systems.
• Simulate execution on silicon spin qubits with SpinPulse; quantify impact of noise on accuracy and resources.
• Write a report and present results to Quobly, LOMA and IPCMS teams.

Education

Master 2 student

Engineering final year

Tools

Qiskit

Cirq

PennyLane

OpenFermion

PySCF

Psi4

Python

Job description

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

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
• 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

• 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).
• Akande, H. A., Perrin, A., Senjean, B. & Saubanere, M. Variational Quantum Subspace Construction via Symmetry-Preserving Cost Functions. Phys. Rev. A 112, 032623 (2025).
• 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).
• 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.