Anneriet Krol, PhD Candidate in the Quantum Machine Learning Group of EEMCS, has won the Quantum Simulator Challenge 2024 by Fujitsu. The Quantum Simulator Challenge is a competition to foster open innovation and identify practical use cases for quantum computing: The first prize went to Delft University of Technology for its project 'Industrial Shift Scheduling on the Fujitsu Quantum Simulator'. This project carried out a simulation to verify the optimization of the allocation of working hours for the different steps of a vehicle assembly and painting line. The simulation was based on the open-source Quantum Industrial Shift Scheduling (QISS) algorithm developed by the university, which enables the identification of the optimal shift scheduling solution. The project used up to 39 qubits and demonstrated that quantum computing technology can contribute to solving massive industrial optimization problems and was highly praised for its uniqueness and usefulness. Second prize was awared to Technische Universität Ilmenau for their project "QuPIV - Quantum algorithm for cross-correlation analysis in particle image velocimetry" which presented a quantum solution for large-scale fluid analysis and utilized up to 32 qubits. Potential applications include aerospace and automotive engineering, urban pedestrian flow analysis, and microfluidics. Third prize was awarded to QunaSys Inc. for the project "Large-scale simulation of molecular electronic states using quantum phase estimation algorithm." The simulation, which utilized up to 39 qubits, focused on the electronic states of hydrogen and ethane molecules, and was rated by the judges for its simulation efficiency.