Meet H2FUTURE doctoral researcher Kaan Yurtseven: “Quantum computing has the potential to revolutionize materials discovery for clean energy”
Doctoral researcher Kaan Yurtseven, originally from Turkey, has embarked on an academic journey that has led him to the forefront of quantum computing research. His research has spanned from simulating Heisenberg spin chains to working with quantum graph neural networks (QGNNs) for electronic structure modeling. Yurtseven 's passion for quantum computing and its applications in material sciences and sustainable technologies drew him to the University of Oulu.
"The opportunity to work in Matti Silveri’s research group, known for its contributions to quantum information and materials science, aligns perfectly with my research interests," he explains.
The interdisciplinary approach of the H2FUTURE project excites him, as it enables the integration of quantum computing with sustainable energy solutions, which he believes is crucial for future advancements.
Focus on developing quantum algorithms for applications in material sciences and quantum chemistry
Yurtseven 's main research focuses on developing quantum algorithms for simulating quantum systems with applications in material sciences and quantum chemistry. This involves designing efficient ansatz and optimization strategies for variational quantum algorithms (VQAs) that can enhance simulations of complex materials relevant to energy storage, catalysis, and hydrogen-based technologies.
"The transition to sustainable energy solutions is one of the most pressing challenges of our time, and quantum computing has the potential to revolutionize materials discovery for clean energy applications," Yurtseven says.
The possibility of leveraging quantum algorithms to design better catalysts and optimize energy storage solutions excites him because it brings together his expertise in quantum physics and machine learning with a real-world impact on sustainability.
Improving the efficiency of hydrogen production and storage is contributing to the broader goal of reducing reliance on fossil fuels
By developing quantum algorithms tailored for material simulations, Yurtseven 's research can help accelerate the discovery of novel materials for hydrogen storage and energy-efficient catalysis.
“These advancements could significantly improve the efficiency of hydrogen production and storage, ultimately contributing to the broader goal of reducing reliance on fossil fuels and making clean energy more accessible”, he says.
Yurtseven is excited about the opportunity to implement his research ideas in practical simulations and contribute to solving real-world challenges in clean energy. Outside of research, to refresh his mind, Yurtseven enjoys playing the guitar and hiking.
"Finland and especially Oulu is an amazing place for a little run or walk”, he shares.
Researching the transformative potential of quantum mechanics by tackling the challenge of balance accuracy, scalability, and computational cost
Yurtseven 's fascination with quantum mechanics and its potential to transform technology inspired him to pursue a PhD. Throughout his academic journey, he has been drawn to the intersection of quantum computing, condensed matter physics, and machine learning.
“The ability to develop and apply quantum algorithms to solve complex problems in material science and sustainable energy is what motivates me the most.”
One of the key research challenges Yurtseven is addressing is the development of efficient quantum ansatz and algorithms that can accurately simulate complex material systems relevant to energy applications.
“The main difficulty lies in optimizing quantum circuits to balance accuracy, scalability, and computational cost, which is crucial for making quantum simulations viable for real-world applications”, he explains.
The interdisciplinary nature of his research allows Yurtseven to explore new methodologies and gain a deeper understanding of material sciences and computational physics.
"The prospect of collaborating with leading researchers, learning from experts in different fields, and pushing the boundaries of quantum algorithm development is what excites me the most," he concludes.