Available student project - Beam matching using machine learning

Research fields

  • Quantum Devices and Technology

Project details

A typical quantum optics experiment requires precise mode-matching of multiple beams. Any imprecision will lead to losses and degradation of the experiment fidelity. With increasingly complex experiments being performed at the ANU, mode-matching multiple beams become a time consuming and mundane task that have to be performed at the start of every experiment. Also for a satellite based project, it is not practical to send the experimenter to space whenever the experiment needs realignment.

The aim of this project is to delegate this task to a machine, so that the experimenter can spend her time on more novel and challenging tasks.

The first step in the project will be to use machine learning algorithms to perform mode-matching for a homodyne setup. This requires matching two identical beams in a Mach-Zehnder interferometer setup using mirrors on a motorised mount. Additional degrees of freedom, like lens positions and beam polarisation will then be added to improve the mode-matching visibility between the two beams.

Project suitability

This research project can be tailored to suit students of the following type(s)
  • 3rd year special project
  • PhB (1st year)
  • PhB (2nd or 3rd year)
  • Honours project
  • Phd or Masters
  • Vacation scholar

Contact supervisor

Assad, Syed profile
Research Associate

Other supervisor(s)

Tranter, Aaron profile
PhD Student
Slatyer, Harry profile
PhD Student

Updated:  17 August 2017/ Responsible Officer:  Director, RSPE/ Page Contact:  Physics Webmaster