PhD Position F/M Optimal Control and Machine Learning for Quantum Computing Systems

2023-06345 - PhD Position F/M Optimal Control and Machine Learning for Quantum Computing Systems

Contract type : Fixed-term contract

Level of qualifications required : Graduate degree or equivalent

Fonction : PhD Position

Context

This is a mathematics thesis on the analysis and the solving of high-dimensional optimal control problems arising from quantum computing. The goal is to build optimal control approaches hybridized with learning in order to solve the Lindblad equation which describes the evolution of systems of Qbits and Qdits in quantum computing.

This is a collaborative work with physicists from Strasbourg.

Assignment

- State of the art on the optimal control of the Linblad equation

- Theoretical study of the control problem as a minimal time problem

- Solving the problem with classical duality control optimal approaches

- Study of PINNs methods for this type of problem

- Coupling between reinforcement approaches and PDE approaches

Main activities

- Construction and implementation of numerical methods

- Validation on physical test cases

- Paper writing and communication

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General Information

Theme/Domain : Optimization and control of dynamic systems
Scientific computing (BAP E)
Town/city : Strasbourg
Inria Center : CRI Nancy - Grand Est
Starting date : 2023-10-01
Duration of contract : 3 years
Deadline to apply : 2023-06-16

Contacts

Inria Team : TONUS
PhD Supervisor :
Franck Emmanuel / emmanuel.franck@inria.fr

About Inria

Inria is the French national research institute dedicated to digital science and technology. It employs 2,600 people. Its 200 agile project teams, generally run jointly with academic partners, include more than 3,500 scientists and engineers working to meet the challenges of digital technology, often at the interface with other disciplines. The Institute also employs numerous talents in over forty different professions. 900 research support staff contribute to the preparation and development of scientific and entrepreneurial projects that have a worldwide impact.

Instruction to apply

Defence Security :
This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment.

Recruitment Policy :
As part of its diversity policy, all Inria positions are accessible to people with disabilities.

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