Etienne Stock

Etienne Stock

Bachelor Student

Heidelberg University

In quantum computing, it is of great importance that initialized states can be tested and verified. However, to achieve optimal error scaling of a tomography scheme, at least in post-processing, the projective measurement must be performed in the eigenbasis of the true state. We therefore aim to develop a tomography method that adapts its measurement basis during the experiment and operates at the speed of the experiment.

  • Many-body Quantum Dynamics
  • Machine Learning
  • Adaptive Quantum Tomography