Quantum Accelerated Solver
Project Overview
Year
About
Quantum Accelerated Solver uses tensor-network algorithms to dramatically reduce the computational cost of simulating complex systems in fields such as aerospace, finance, and climate modelling. Running on existing high-performance computers, it compresses simulations while maintaining accuracy and lays the groundwork for future quantum acceleration. Compatible with standard CFD inputs, the framework delivers rapid, transparent results with engineering-grade error estimates. This approach enables faster design cycles, saves energy, and opens new simulation regimes previously deemed intractable
Team
Nis-Luca Van Hülst
University of Hamburg
Nis-Luca van Hülst is a PhD candidate in Physics at the University of Hamburg. He and his University of Hamburg team won the 2024 Airbus-BMW Group Quantum Computing Challenge (Quantum Solvers track). His research develops quantum and quantum-inspired solutions for computational fluid dynamics, assessing their accuracy, scaling, and memory requirements across different physical regimes and non-trivial geometries. He uses these results to quantify the quantum resources needed to achieve a practical advantage over classical methods.
Hai-Yen Van
ETH Zurich
My name is Hai-Yen Van, and I am a Master’s student in Computational Science and Engineering at ETH Zurich. I am passionate about extending the boundaries of human understanding through simulations. With my background at the intersection of physics and computing, I enjoy bridging disciplines to explore innovative approaches to discovery. During my undergraduate studies in Computing in Science - Physics at the University of Hamburg, I noticed the huge potential of smart, quantum-inspired algorithms. Currently, I am using them to create tools that enable researchers to tackle complex problems and to contribute to curiosity-driven innovation with meaningful impact.
Tomohiro Hashizume
University of Hamburg
Dr. Tomohiro Hashizume is a computational condensed matter physicist specializing in quantum many-body dynamics, algorithms for quantum computers, and tensor network solvers. He completed his PhD in Physics at the University of Strathclyde, where his research focused on deterministic fast scramblers and their implementation with neutral atom arrays. Dr. Hashizume has published works on topics ranging from quantum information to black hole physics. He is currently a Postdoctoral researcher at the University of Hamburg expanding his expertise into quantum computing.
Mario Guillaume Cecile
University of Hamburg
After earning my BSc in Physics from the University of Mauritius, I taught physics and mathematics at a private secondary school. In 2019, I was awarded a Campus France scholarship to pursue a two-year MSc at CY Cergy Paris Université, where I completed my final-year internship at the Laboratoire de Physique Théorique et Modélisation (LPTM). I then began a PhD at LPTM on quantum phenomena in Quantum many-body systems, which I successfully defended in October 2024. Since December 2024, I have been a Research Associate at the University of Hamburg, developing and applying tensor-network methods to computational fluid dynamics.
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