Expert Optimal Control Scientist

1 нед. назад

FranceEuropeSeniorHybrid

quantum error correctionpulse shapingfeedback stabilizationcontrol theory

Design and optimize control strategies for the Schrödinger cat qubit quantum computing platform to maximize performance and quantum error correction.

Alice & Bob is developing the first universal, fault-tolerant quantum computer to solve the world’s hardest problems. The quantum computer we envision building is based on a new kind of superconducting qubit: the Schrödinger cat qubit 🐈‍⬛ . In comparison to other superconducting platforms, cat qubits have the astonishing ability to implement quantum error correction autonomously!   We're a diverse team of 250+ brilliant minds from over 35 countries united by a single goal: to revolutionise computing with a practical fault-tolerant quantum machine. Are you ready to take on unprecedented challenges and contribute to revolutionising technology? Join us, and let's shape the future of quantum computing together! About the Mission Control is one of the decisive levers for how well this

Develop pulse-shaping and feedback stabilization schemes to maximize gate fidelity
Apply control and stabilization methods to the cat-qubit platform
Build numerical models and simulations to test control strategies at scale
Validate performance and robustness before deployment on hardware
Work with experimentalists and technical teams to implement control solutions
Support testing and iteration of control strategies on the platform through to full delivery in production
Provide a clear view of the state of the art for qubit control
Strengthen the mathematical foundations underpinning control design

4+ years of research experience in control theory or a related domain, post-PhD in applied mathematics, control theory, physics, or a closely related field
Strong foundation in mathematical control theory (model-based and model-free optimal control, controllability, and reinforcement learning)
Experience with control of dynamical systems
Numerical modeling and simulation skills, with experience in scientific computing
Familiarity with data-driven control methods and reachability analysis
Ability to translate theoretical methods into applied, measurable engineering outcomes
Strong collaboration skills across research, software, and hardware teams
Rigorous and autonomous, with the ability to communicate complex results clearly
Professional-level English proficiency, both written and spoken