Q-Grid

Using the power of quantum computers to optimize future energy grids

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Description

The currently available quantum computers are referred to as quantum computers of the NISQ (Noisy Intermediate-Scale Quantum) era, as they are limited in size and susceptible to errors and noise. Due to these characteristics, hybrid approaches of classical computers and quantum computers are considered a promising direction for the realization of practical applications on current quantum computers.

In this project, the fundamental applicability of quantum computing to problems in the energy sector will be investigated. Typical questions concern, for example, grid optimization with many local sources and consumers. The major challenges in quantum computing that exist in the NISQ era are to be identified before practical application. The project therefore pursues three goals: First, to develop novel quantum-based algorithms for use cases under the overarching theme of “optimization of distributed energy grids”. Secondly, the development of an automatic pre-processing interface is planned, which breaks down optimization problems that are too large. And thirdly, the development of a benchmark system is planned. This benchmark system will enable automatic test series to be carried out in order to evaluate various quantum-assisted algorithms against classical optimization algorithms and thus identify possible quantum advantages.

Funded by
Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)
Partners
E.ON Digital Technology
Contact at the chair
Jonas Nüßlein
Website
https://www.quantentechnologien.de