Now showing items 1-4 of 4
A new Pattern for Quantum Evolutionary Algorithms
Quantum Evolutionary Algorithms have been discussed in the literature in different forms. One branch in these efforts studies approaches for the representation of genetic information, i.e., problem information, in terms of qubits. A typical downside of this representation has been the loss of quantum information in the ...
Influence Estimation In Multi-Step Process Chains Using Quantum Bayesian Networks
Digital representatives of physical assets and process steps play a decisive role in analysing properties and evaluating the quality of the process. So-called digital twins acquire all relevant planning and process data, which provide the basis, for example, to investigate path accuracies in manufacturing. Each single ...
Real-world application benchmark for QAOA algorithm for an electromobility use case
To reduce $CO_2$ emissions in the mobility sector, battery electric service vehicles might play an important role in the future. Here, an optimal charging scheduling use case will be presented which includes local solar power generation for minimizing the power grid usage for electric service vehicles. Different formulations ...
Quantum Computer and Quantum Algorithm Benchmarking
Quantum computing is an exciting field, which brought out many competitors, both on the hardware and algorithmic side. Although users are not expecting to outperform classical machines yet, they are still interested in quantum computers, which can demonstrate advantages of their algorithms best. However, for users, ...