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Instructor :
Saeed Alameri
saeed.alameri@ku.ac.ae
Start date
01/05/2025
End date
01/08/2025

“An important cornerstone for current nuclear power stations is to optimize the operational costs. Unsurprisingly, this goal relies on large amounts of computing power, which improves the speed and precision of the decision-making process. In fact, although high-performance computing is at the heart of the nuclear-energy industry, the need and eagerness for more computing power are not yet satisfied. Quantum computing represents a realistic hope for upscaling computational power. Quantum computation is an emerging technology with huge disruptive potential, attracting tremendous interest and investment worldwide. It offers a new paradigm for information processing that exploits quantum effects (superpositions and entanglement) of atomic and sub-atomic particles (qubits). Quantum computation provides a framework for tackling extra-large scale computational problems, of commercial interest, that are currently intractable even for the largest classical supercomputers. This project aims at bridging the gap between the state-of- the-art quantum-inspired algorithms and the research field of nuclear reactor physics. It focuses on computational methods to solve the neutron transport equation for relevant nuclear-energy industry applications. We expect computational run-time speed-ups, and memory compression advantages, over classical algorithms for scenarios relevant to typical nuclear power plants.”

Hosted by
Mechanical & Nuclear Engineering
Expected Student Major
Engineering, Math, Physics, Computer Science
Duration of the Program
4-6 Week
Student Level
Senior Student Required
Eligible for Accommodation
No
Number of positions
3
Expected outcome from the Student's work

1- Assist in writing Python scripts on a specific topic related to the Neutron Transport equation utilizing the MOC method.
2- Students have to have a strong background in Tensor flow algorithms.

Terms & conditions