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Efficient quantum computing simulator based on general tensor network.

Project description

Quantum computing simulators allow development and testing of quantum algorithms on classical systems. While it is difficult to scale to a high number of qubits, it is nevertheless possible to go upto 100 qubits for specific use cases, using smart linear algebra tricks, hardware accelerators and super-computing clusters. In this thesis, the candidate is expected to explore and implement an efficient quantum computing simulator. The Schrodinger-Feynman method using tensor networks on GPUs needs to be explored and contrasted with a full state vector simulation (Schrodinger method) and a density matrix simulation.


We seek a candidate with experience of programming in C++ and OpenCL (or CUDA) as well as an introductory knowledge of gate-based quantum computation. Understanding of tensor networks for many-body physics simulation is a plus. For M.Sc. thesis, the candidate must be enrolled in a masters program.

Location office at Leuven, Belgium. Remote working can be considered based on Covid situation.

Position role

M.Sc. thesis or Internship for a 6-12 months duration. Possibility of Ph.D. position and job offer in based on performance and funding.

Application procedure and deadline

Please send a CV and a motivation letter to or by July 15, 2021.