Results

The Problem Power grids require accurate power flow analysis and state estimation to ensure efficient energy distribution and stability. Traditional methods face challenges in solving the high-dimensional, linear equations involved, particularly as grids grow in complexity with the integration of renewable energy sources and dynamic demand patterns. Grid data is stored in large data structures […]

The Problem Radiotherapy, a critical cancer treatment, relies on precise radiation dose planning to maximize effectiveness while minimizing harm to healthy tissue. Traditional methods for Fluence Map Optimization (FMO) struggle with computational complexity, especially as treatment plans involve more variables and higher voxel counts, a type of three-dimensional pixel. Since the optimization problem requires both

The Problem Large water distribution system operators like Vitens are faced with network models that are intractable to simulate in their full scale in short time periods and must instead simulate smaller networks over larger time periods. These models are important for understanding e.g., pipe friction parameters, determining least-cost designs, finding leaks, developing digital twins

The Problem Breeding describes the process of selecting animals or plants with favorable characteristics that can be inherited to improve future generations and obtain higher yields, improved quality, disease resistance, and sustainability. To do this, characteristics (“phenotypes”) and DNA information (“genotypes”) of individuals are collected and subsequently used to estimate the expected performance of an

The Problem At Air France KLM over 7,000 employees work in shifts with different contract percentages, skill and authorization levels, etc. Efficiently scheduling all these employees becomes a complex combinatorial task. To solve it classically, Air France KLM simplifies the problem by designing both base rosters and personal rosters, reducing its efficiency. Designing personal rosters

The Problem Dutch DSO Alliander is faced with the challenge of increasing the capacity of their network within the next 10 years by the same amount as within the past 100 years. On top of that, novel technologies like solar panels and electric vehicles add additional complexities to this future network. Performing large grid calculations

The Problem Bathymetry is the study of water depths and at S[&]T this is done through the analysis of remote sensing data. This is relevant to the Dutch Ministry of Defense for collecting situational intelligence to determine potential landing sites for amphibious crafts. The depth of ocean floors between 0 and 20m is derived from

The Problem Modern large scale radio telescopes are made of multiple antennas whose signal needs to be combined to form a clear picture of the night sky. During this process, the antenna system needs to be calibrated to digitally remove noise source and imperfection in the telescope setup. Classical calibration techniques are powerful but computationally

The Problem Toyota Motor Europe, in collaboration with QAL, is delving into the realm of photocatalysis for watersplitting, a pivotal process in the sustainable production of hydrogen. The accurate simulation ofphotocatalytic reactions stands as a complex, resource-intensive endeavor that demands innovativecomputational methodologies. The Quantum Solution The project employs a state-averaged orbital optimized variational quantum eigensolver