Master's Thesis Worker

As Master’s Thesis Worker, you will:Apply advanced mathematics, quantum mechanics, computational physics, and machine learning methods to develop and analyze quantum algorithms, error-mitigation techniques, and error-correction strategies for materials-science applications.Investigate the transition from noisy intermediate-scale quantum (NISQ) computing to logical intermediate-scale quantum (LISQ) computing.Evaluate the impact of qubit and gate noise models, error suppression, and error-correction strategies on algorithmic performance.Perform numerical simulations and data analysis using high-performance computing resources.Collaborate with quantum-computing researchers and participate in discussions on future quantum-computing architectures and applications.Contribute to the long-term goal of validating quantum algorithms on VTT's quantum-computing hardware.Who we are looking for:You are a Master’s student in physics, quantum technology, mathematics, computer science, materials science, or a related field.You have a strong background in mathematics, including linear algebra, probability theory, numerical methods, or related advanced topics.You have a relevant background in quantum mechanics and a genuine interest in quantum computing.You have experience in scientific programming and numerical simulations (e.g. Python, Mathematica, MATLAB, Julia, C/C++, or similar).Experience in quantum computing, machine learning, high-performance computing, quantum error correction, or materials-science simulations is considered an advantage but is not required.As a person, we hope that you are:A curious and analytical thinker who enjoys applying mathematics and physics to solve challenging scientific and technical problems that may require studying complex concepts in depth.Excited by the mathematical and engineering aspects of quantum computing, including the design, implementation, and analysis of sophisticated quantum algorithms and error-correction schemes.