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PhD in Physics and Astronomy: Quantum microscopy

College of Science and Engineering

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Prof Miles Padgett No more applications being accepted Funded PhD Project (UK Students Only)
Glasgow United Kingdom Machine Learning Optical Physics

About the Project

QuantIC, the UK National Quantum Technology Hub for Quantum Enhanced Imaging is looking to recruit for a PhD in Quantum Microscopy.

 Part of the £1 billion UK National Quantum Technologies Programme (NQTP), this is an industry led studentship co-funded by Teledyne e2v and the University of Glasgow. Students will benefit from spending a proportion of their time with  Teledyne e2v, developing valuable skills and a range of approaches that are not available in an academic setting alone.

About the Project

In conventional imaging, the camera sensor records the real image to which is added sensor noise and indeed any background light which is inadvertently or deliberately introduced. This background light and sensor noise degrades, or obscures the real image.

We are we are replacing the classical illumination, where photons arrive one by one, with quantum illumination, where the photons arrive two by two. These photon pairs act as probe and reference where every probe photon in the image is authenticated using its correlated (entangled) reference.

Results so far has shown that even when the background light has the same wavelength, polarisation and statistics of the quantum source it can be ≈99% eliminated from the image using the photon pair information to distinguish real photon events from the noise.

This type of image has applications in ultra-low light conditions or when the image needs to be authenticated. We are working with both camera manufacturers and end users to establish this new form of quantum microscopy.

The project will develop skills in optical system design, quantum physics and machine learning. 

To find out more about the QuantIC Industrial Studentship Scheme and hear from existing students, click here:

Entry requirements

Places will be awarded on a competitive basis. Applicants must have a 1st class or 2.1 degree at MPhys or MEng level (or equivalent) from a computing, mathematical, physical sciences or engineering programme. Exceptional candidates with BSc or BEng qualifications will also be considered.

 How to Apply

Please send your CV and a cover letter outlining why you are interested in this PhD to [Email Address Removed]


Funding Notes

Funding is available to cover tuition fees for UK applicants for 3.5 years, as well as paying a stipend at the UKRI rate.
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