PhD

Integrated quantum photonics based on single photon emitters in 2D materials

We propose a PhD position funded by the French national science foundation (ANR), with a possibility of doing a Master thesis of 4 to 6 months beforehand. The position leads to a doctoral degree of University Paris-Saclay (which is ranked world number 13 in Shanghai ranking).

We seek for highly motivated, skilled, and independent graduate students that wish to develop their scientific career in a stimulating environment. This doctoral degree project will be carried out in the quantum photonics group led by Ana Predojevic (http://qphotonics.fysik.su.se). The successful candidate should have interest in quantum technologies, specifically quantum information and communication.

We are looking for a highly motivated Ph.D. student to work in the following fields:

- Quantum neural networks.

- Developing new quantum machine learning protocols. Problems o interest include quantum state preparation, quantum feature detection, or developing hybrid quantum architectures."

- Resource theory of quantum machine learning.

We are looking for highly motivated, enthusiastic, and team-oriented candidates for several new projects concerning experimental photonic quantum information processing.

We are building a new team to develop a cryogenic atomic quantum processor based on strontium atoms in optical tweezers in a 4K environment. The project is embedded in a large concerted effort to build a strontium quantum computing demonstrator (MUNIQC-ATOMS, funded by the German ministry of education and research). The project will start in January 2022 with a time frame of 5 years.

We are seeking a highly motivated PhD student to work on theoretical aspects related to quantum many-body physics. The research will focus in particular on:

- the investigation of non-equilibrium processes in synthetic quantum matter

- the development of protocols for novel engine cycles using non-equilibrium phase transitions

- the application of advanced numerical methods (e.g. tensor networks) to model quantum many-body engines

How should one design the ideal programming language for current and future quantum computers? What are appropriate concepts, abstractions, and paradigms? Is there a fundamental difference between programming small and large quantum computers? How can type systems and formal methods help ensure that quantum software works correctly by construction - even when current quantum hardware is noisy? How can quantum programs be debugged when quantum bits collapse upon inspection? And how can all this help algorithm designers analyze innovative new quantum algorithms?

If the above sounds exciting to you, then you should consider applying!

The research group Quantum Information at Ruhr University Bochum led by Michael Walter is hoping to recruit a doctoral student (m/f/d, 100%, 3 years) for the interdisciplinary BMBF project QuBRA. You will work towards a doctorate on questions such as the above (...)

The theory group at Forschungszentrum Juelich is looking for highly motivated candidates to fill a fully-funded PhD position over the next few months.
It is a fully-funded PhD position focusing on theoretical aspects of large scale quantum processors using machine learning. The projects will be supervised by Dr M.H. Ansari and may involve collaborations with leading experimental groups.

Competitive PhD position at the ICMol (University of Valencia) within the Program INPhINIT from “La Caixa” foundation:
https://www.icmol.es/fellowshipcalls.php

Competitive PhD position at the ICMol (University of Valencia) within the Program INPhINIT from “La Caixa” foundation:
https://www.icmol.es/fellowshipcalls.php

Topic: Design of quantum and probabilistic computing devices based on magnetic molecules
Research will take place within the context of the project ChiralPbit, access full scientific details here:
http://uv.es/gaita/chiral-p-bit.pdf