Internship - Machine Learning for High-fidelity Photonic Quantum Computing

Quandela is a spin-off company from the French national laboratory CNRS founded in 2017, with teams of quantum technology specialists with broad experience in semiconductor nanotechnologies, quantum optics and photonics, computer science, and quantum information, foundations and computing.

Located in the southern suburbs of Paris, with its main offices in Massy and fabrication facilities in the deep-tech campus of Paris-Saclay, Quandela is developing photonic quantum computing platforms, covering all areas of the computing stack from hardware to middleware, software and algorithms.

We are seeking a highly motivated and innovative intern to join our cutting edge research team focused on advancing the field of optimal control in photonic quantum computing.

You will work closely with our lead researcher to enhance the efficiency and precision of machine learning techniques applied to characterize and control photonic integrated circuits.

Our current methods have set a new benchmark in optimal control, achieving unprecedented fidelity values.

With the new generation of devices coming this year, consisting of 576 controllable components, we are facing exciting new challenges in our quest for ultimate precision.

This internship offers a unique opportunity to contribute to groundbreaking research and potentially see your work published in scientific journals

Requirements

o   Proficient in Python programming.

o    Demonstrated interest in machine learning and the willingness to explore new techniques.

o   Ability to propose creative solutions to complex problems.

o   Not required, but a plus: Basic knowledge of quantum mechanics

o    Eagerness to learn and adapt to new challenges.

o    Strong communication skills.

o    Prior internship in a research institution

Benefits

• Swile card with "ticket restaurants"
• Positive working atmosphere with other interns and permanent teams
• A diverse, dynamic, challenging, international team and environment
• Collaborations with researchers and experts from around the world