Efficient system identification and characterization for quantum many-body systems
FakultätenFakultät für Naturwissenschaften
The analytical, experimental, and even numerical investigation of quantum many-body systems is pushed to its limits rather rapidly as the dimension of the Hilbert space scales exponentially with the number of subsystems. As a result, tasks such as the exact diagonalization of general quantum many-body Hamiltonians and the analysis of quantum experiments are limited to small system sizes. In this thesis, we address two issues related to the exponential scaling of the Hilbert space dimension: (i) The approximation of the ground state energy of many-body systems with a lower bound and (ii) efficient strategies for quantum state tomography experiments.
Erstellung / Fertigstellung
Normierte SchlagwörterMaximum-Likelihood-Schätzung [GND]
Quantum information processing [LCSH]
Quantum theory [LCSH]