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PhD Position – Optimal Control and ML Optimization of Open-System Solid-State Qubits

Forschungszentrum Jülich

As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructure. Come and work with around 6,400 colleagues across a range of topics and disciplines at one of Europe’s largest research centres.
The Sub-Institute for Quantum Control (IQC) of the Peter Grünberg Institute at Forschungszentrum Jülich specializes in novel optimization strategies for emerging quantum technologies. These emerging technologies aim to provide transformative changes to our society, including how we think about information, and unlocking vast calculations for the natural sciences, logistical problem solving, and high-performance computation. The IQC has pioneered the application of quantum optimal control methods to quantum computation and to many-body quantum systems. This includes development of physical models and model reduction techniques as well as algorithmic advances of in-situ optimization and machine learning to tackle the complex processes inherent to scalable quantum devices.
The Sub-Institute for Quantum Control is offering a
PhD Position – Optimal Control and ML Optimization of Open-System Solid-State Qubits
Your Job:
• designing open-system strategies for high-precision operation on solid-state platforms
• developing analytical models for decay mechanisms and dynamical processes of the systems
• researching algorithmic advances and new directions for our quantum optimization library, including advances in reinforcement learning and autonomous real-time interaction with measured systems
• incorporating new physics ideas into the optimizations to account for more complex tasks as devices scale up, including for light-matter interaction, measurement feedback and dissipation engineering
• regularly interacting with experimentalist partners so as to retain a high fidelity with respect to real devices and providing access to our cloud-based optimization software suite
Your Profile:
• master’s degree in physics
• a background and strong interest in developing analytical models and numerical optimization methods, and interest in working closely with experiments
• knowledge of open quantum systems, density matrices, and/or measurement theory
• programming experience in, e.g., Python
• fluent command of written and spoken English
• most importantly: enthusiasm to explore uncharted territory, develop and follow your own ideas
• ability to work autonomously in close interaction within a team
Our Offer:
• outstanding computing facilities and a world leader in quantum optimization research
• a highly motivated working group as part of an international and interdisciplinary working environment at one of Europe’s largest research establishments
• continuous scientific mentoring by your scientific advisor as well as feedback and expertise in the multiple facets of optimization technologies and solid-state physics
• opportunity of participating in (international) conferences and project meetings
• participation in overarching seminars including certificate
• the skills that you will acquire during your PhD are in high demand both in academia and in high-tech companies: at present, there is significant investment from private and governmental funding agencies in the field of quantum technologies
• pay in line with 75 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund), higher payment may be possible depending on qualifications
• information on employment as a PhD student at Forschungszentrum Jülich can be found here
Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations.
We also welcome applications from disabled persons.
We look forward to receiving your application until 20.05.2020 via our online recruitment system!
Questions about the vacancy?
Contact us by mentioning the reference number 2020D-051:
Please note that for technical reasons we cannot accept applications via email.

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Published on April 30, 2020

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