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PhD in Quantum Computing and Quantum Machine Learning

University of Vienna, Faculy of Physics, Quantum Optics, Quantum Nanophyiscs & Quantum Information

The Walther Group, Faculty of Physics, University of Vienna is looking for highly motivated researchers to work on experimental photonic quantum computing and quantum information.
The research
Our group develops new quantum photonic techniques to study a range of topics, from fundamental issues in quantum theory, up to more technologically inspired goals such as creating large entangled states of photons for applications in quantum computing, quantum cryptography and quantum information. Recently, we have focused on to integrated active elements into our experiments to provide additional flexibility. We have projects available on the following topics:
1) The generation of multi-photon states using solid-state quantum dot sources. We work with two quantum dot sources at ~1550 nm and ~900 nm, using active demultiplexing schemes to interfere successively emitted photons from the same quantum dot.
2) Quantum information and foundations. We perform table-top experiments to implement new quantum information protocols and to test some of the more counter-intuitive predictions of quantum theory. For example, we develop efficient techniques to characterize quantum resources, create superpositions of different causal orders, and test alternative formulations of quantum mechanics.
3) Quantum machine learning. We are developing new quantum machine learning algorithms which are tailored for our photonic quantum hardware, including our recently demonstrated quantum memristor. These experiments are implemented using integrated waveguides.
4) Nonlinear plasmonics. Weak optical nonlinearities hamper many photonic applications. For this reason, we use plasmonic excitations in various 2D materials (such as graphene, crystalline metals, and transition metal dichalocogenides) to enhance nonlinear processes. This could lead to a plasmon-plasmon quantum logic gate and improved photon sources.

How to apply

Please submit your application via e-mail to as one single PDF document, *a letter of motivation (no more than one page) * CV (indicating your contact information, work history, list of publications, knowledge areas of physics and engineering, experimental skills, language skills, university degrees and grades, honours and awards), *contact details of two possible referees.

Prof. Philip Walther / Dr. Lee Rozema Apply for this job

Published on January 13, 2023

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