Q-GeneSys: Quantengenerative Modelle für industrielle Simulationssysteme
Motivation
Quantum computing is currently caught between two conflicting forces: while quantum supremacy experiments demonstrate enormous potential, attempts at practical application show the long pathway from delivering industry-relevant benefits. The aim of this project is to build on the findings of quantum supremacy experiments and develop them in a targeted manner so that their computational potential can be exploited in practical applications.
Goals and Approach
The findings from the quantum supremacy experiments, which demonstrate the enormous potential of quantum technology, are to be translated into practical quantum computing systems. To this end, a suitable approach for the use of quantum generative models is being developed in order to realise quantum advantages in industrial applications.
Innovation und Perspectives
The core of the innovation lies in the targeted combination of findings from supremacy experiments in quantum computing with the field of generative learning. Instead of focusing on the development of universal quantum circuits, the approach uses specific classes of quantum circuits, such as IQP circuits, which are classically trainable but still capable of generating high-dimensional probability distributions. This reduces the requirements for quantum hardware and opens up opportunities for exponential quantum acceleration in practical scenarios.
Find more information at the project homepage. This project is funded by the German Federal Ministry of Research, Technology and Space (BMFTR).
