"The potential of practical quantum computing in medicine" (PD Dr. habil. Jeanette Miriam Lorenz)

  • Date: Nov 29, 2023
  • Time: 10:00 AM (Local Time Germany)
  • Speaker: PD Dr. habil. Jeanette Miriam Lorenz
  • Fraunhofer Institute for Cognitive Systems IKS
  • Location: Max Planck Institute of Quantum Optics
  • Room: Herbert Walther Lecture Hall
Development of quantum hardware and software is progressing rapidly. With the availability of first generally-accessible quantum computers, their potential use for applications can increasingly be explored. One prospective field of application is data science in the medical sector, which faces challenges difficult to address with currently available methods. An example is medical imaging, where frequently only limited training data is available – making the use of classical AI methods difficult. However, presently available quantum computers are still limited in the number of qubits, the connectivity and are affected by noise.

Due to this, it is currently impossible to obtain a clear quantum advantage like in Grover’s or Shor’s algorithm already today. But can we still profit from the currently available Noisy-Intermediate Scale quantum (NISQ) computers now or in the near future? What are the steps to take to obtain a practical quantum advantage in academic and industrial applications? What are the potential application fields, e.g, in the medical sector?
My talk will first give an introduction to quantum computing, focusing in particular on near-term quantum computing: what is a ‚practical‘ quantum advantage and can we deal with the noise of the devices? Then we look towards example applications, in particular in the medical sector, and compare them with competing advances in classical machine learning to address open challenges like the limited availability of training data.

We invite everyone to join us in person or via this zoom link:
https://lmu-munich.zoom-x.de/j/93486024343?pwd=QXB6MHVNRGpyZHJyV29OclpzSGJPQT09


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