Postgraduate research project

Quantum reservoir computing via Nano-Opto-Electro-Mechanical (NOEM) coupled quantum oscillators

Funding
Competition funded View fees and funding
Type of degree
Doctor of Philosophy
Entry requirements
2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Engineering and Physical Sciences
Closing date

About the project

The aim of the project is to develop a novel platform technology for quantum reservoir computing, a promising approach for quantum neural networks where quantum information can be used as data in machine learning algorithms.

A novel quantum reservoir computing hardware using Nano-Opto-Electro-Mechanical (NOEM) coupled quantum oscillators is proposed to demonstrate quantum neural networks where quantum information is used as data in machine learning algorithms. Modelling approach or device fabrication route can be selected.  

We propose Nano-opto-electro-mechanical (NOEM) coupled oscillators are a potential candidate for quantum coupled oscillators and create models for the systems. 

Subject to the expertise and interest of a candidate, two approaches are possible:

  • one is to develop mathematical or numerical models of NOEM-based quantum reservoir computing, which is more suitable for computer science students;
  • another approach is to develop NOEM-coupled oscillators that can get into the quantum regime and to demonstrate quantum coupled oscillators experimentally, which is more suitable for physics or electronic engineering students.