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Quantum-based and neuromorphic technologies for the next generation of computing and sensor technology

Published: November 2025

Quantum-based and neuromorphic technologies combine the principles of quantum mechanics with neuromorphic and spintronic approaches to develop high-precision sensors and energy-efficient computer hardware. These technologies utilize quantum mechanical effects, neural network structures, and spintronics to revolutionize the performance and efficiency of computer systems and sensors. Research in this field has made great strides in recent years. A concrete example of the state of the art is the development of quantum NMR spectrometers based on diamond quantum sensors. These enable NMR measurements on the nanometer scale and could dramatically increase the sensitivity of NMR spectroscopy.

Guiding questions

  • How can quantum-based and neuromorphic technologies be effectively combined to leverage the advantages of both approaches?
  • What role will 2D materials and nanostructures play in the development of future computer systems and sensors?
  • How can the stability and reliability of quantum systems be improved for practical applications?
  • What ethical and security-related questions arise from the potentially enormous computing power and sensitivity of these new technologies?
  • How can neuromorphic systems be designed to mimic the efficiency and flexibility of biological neural networks?
Image description: A man in a lab coat is working on a circuit board.

challenges

Scaling quantum-based and neuromorphic technologies from laboratory experiments to practical applications remains a key challenge. Seamless integration of these components into existing computer systems and sensors requires significant progress. Quantum systems, in particular, pose high demands due to stability and fault tolerance issues, as coherence must be maintained and errors minimized. Despite the pursuit of energy efficiency, optimizing energy consumption remains essential. Furthermore, the development of new materials for spintronic and quantum-based applications is a crucial area of ​​research.

Concrete examples

  • Quantum NMR spectrometers enable NMR measurements at the single-cell and molecular scale to better understand metabolic processes and rare proteins
  • Josephson neurons: Superconducting circuits for energy-efficient neuromorphic data processing
  • Spintronic sensors: Femtotesla spintronic sensors for precise magnetic field measurements
  • 2D materials in transistors: Performance enhancement of electronic components through graphene and other 2D materials
  • Skyrmionic neural networks: Magnetic skyrmions for energy-efficient neural hardware networks
Image description: Foresight – Thuringia, Blue Eye in focus

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Reference

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Reference

Michel Reichardt

Michel Reichardt Project Manager Strategic Foresight

Christoph Grollman

Christoph Grollman Project Manager Strategic Foresight

Dr. Sophia Gänßle

Dr. Sophia Gänßle Project Manager Data Science Strategic Foresight

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