3 papers
quant-ph2026
End-to-End Speedup for Quantum Simulation-Based Optimization in Power Grid Management
Jonas Stein, Jannis Lutz, Moritz Sölderer +4
Quantum Simulation-based Optimization (QuSO) is a recently proposed class of optimization problems that entails industrially relevant problems characterized by cost functions or co…
quant-ph2024
Towards Robust Benchmarking of Quantum Optimization Algorithms
David Bucher, Nico Kraus, Jonas Blenninger +3
Benchmarking the performance of quantum optimization algorithms is crucial for identifying utility for industry-relevant use cases. Benchmarking processes vary between optimization…
quant-ph2024
Solving the Turbine Balancing Problem using Quantum Annealing
Arnold Unterauer, David Bucher, Matthias Knoll +6
Quantum computing has the potential for disruptive change in many sectors of industry, especially in materials science and optimization. In this paper, we describe how the Turbine…