PhD. Theses

Fabian Laudenbach, PhD Thesis, Universität Wien (2018):
Photon-pair generation and quantum cryptography with continuous variables

Jonas Zeuner, PhD Thesis, Universität Wien (2018):
Complex Multiphoton Processing Using Integrated Circuits

Chiara Greganti, PhD Thesis, Universität Wien (2018):
Multi-photon experiments for quantum computing

Max Tillmann, PhD Thesis, Universität Wien (2017):
Multi-photon interference using laser-written waveguides for
BosonSampling and related computations

Lorenzo Manuel Procopio Peña, PhD Thesis, Universität Wien (2017):
Single-Photon Experiments and Characterization of Superconducting
Nanowire Single-Photon Detectors

Stefanie Barz, PhD Thesis, Universität Wien (2012):
Photonic Quantum Computing

 

MSc students

Florian Schlederer, Master Thesis, Universität Wien (2018):
Self-Consistent Quantum Tomography - An Experimental Analysis

Peter Schiansky, Master Thesis, Universität Wien (2017):
Design and construction of a fibre-coupled grating-based single-photon
spectrometer with sub-nanometer resolution at 1550 nm

Fabian Laudenbach, Master Thesis, Universität Wien (2015):
Engineering Spectrally Pure Quantum States with SPDC using Periodically
Poled Crystals and Pulsed Laser Sources

Irati Alonso Calafell, Master Thesis, Universität Wien (2014):
FPGA Based Control ELectronics for Photonic Quantum Computing

Christian Schmidt, Master Thesis, Universität Wien (2014): 
Quantum Interference and Tomography of Linear Optical Networks

Christopher Hilweg, Master Thesis, Universität Wien (2014):
Interferometric tests of quantum physics on curved space-time

Marie-Christine Röhsner, Master Thesis, Universität Wien (2014):
Efficient Characterization of Multi-Qubit States and their Application to
Demonstrate Measurement Only Blind Quantum Computing

Sarah Stöckl, Master Thesis, Universität Wien (2014):
Multi-Photon Interference in a Boson Sampling Computation

Yannick Ole Lipp, Master Thesis, Universität Wien (2011):
Experimental realization of an interferometric quantum circuit
to increase the computational depth