PhD

(This is a re-posting as the deadline is near ....)
This position is associated with a project entitled "Quantum Machine Learning", and includes the following possible research topics:

We are inviting applications for both PhD and postdoctoral positions. The group aims to fill up to three positions until autumn 2016.

The successful candidates will work on interdisciplinary projects either within the field of compressed sensing or on quantum information theory. Within compressed sensing, our focus will lie on exploiting low-rank and bilinear structures. Relevant topics in the context of quantum information include many-body theory and topological order, aspects of computational complexity, and foundations of quantum mechanics.

This PhD project will address quantum computation and information processing in realistic environments, in particular, in the NQIT Q:2020 machine. This device is being developed within the UK National Quantum Technologies Programme, and aims to consist of 400 qubits across 20 different traps with photonic interconnects. In this theoretical project, the student will abstract the main sources of error from the physics of local quantum operations, transmission and measurement of quantum states of ions and photons.

A fully funded (tuition and stipend) Ph.D. position is available to work with Matthew Leifer in the Computational and Data Sciences program at Chapman University. Chapman University is home to the Institute for Quantum Studies, which is one of the leading centers for research in the foundations of quantum theory.

This position is associated with a project entitled "Quantum Machine Learning", and includes the following possible research topics:

Pages

Subscribe to RSS - PhD