QLindA – Quantum Reinforcement Learning

The development of quantum computers is progressing rapidly, but their use in industrial applications is still in its infancy. Yet quantum computers have the potential to fundamentally improve applications in many industries. The currently advancing increase in the capacity of quantum computers opens up the possibility of using quantum computers in AI systems. In AI, optimal control of dynamic systems is usually solved using reinforcement learning methods. First realizations of these methods with quantum computers already exist today.

Goals and process

The project aims at combining these recent advances in the development of quantum computing with artificial intelligence, in particular for reinforcement learning (RL), and making it technically usable. To this end, the project investigates how RL can be implemented on quantum computers to solve a variety of relevant problems from industrial applications: RL-based control optimization in the process industry, the use of distributed automation systems in the smart factory, and optimization in production planning.

Project partner

© Siemens Technology
© IQM Germany GmbH
© Ostbayerische Technische Hochschule Regensburg
© Friedrich‐Alexander‐Universität Erlangen‐Nürnberg

Innovation and perspectives

Due to the fact that quantum computers are error-prone, adaptations to classical algorithms must be made in order to ensure a certain degree of compatibility.

Contents of the project:

  • Development of novel algorithms for quantum computers
  • Benchmark for the evaluation of the methods
  • Creation of a library to make them usable for industrial applications 
  • Investigation of possibilities and potentials as well as existing limitations of the algorithms

Scientific publications

Events

Quantum Computing

Axel Plinge

Contact Press / Media

Dr.-Ing. Axel Plinge

Head of Self-Learning Systems

Fraunhofer-Institut für Integrierte Schaltungen IIS
Nordostpark 84
90411 Nürnberg

Phone +49 911 58061-3225

Fax +49 911 58061-3299

  • Send email

Contact Press / Media

Dr. rer. nat Daniel Scherer

Fraunhofer IIS
Nordostpark 84
90411 Nürnberg

Phone +49 911 58061-3265