Quantum Reservoir Computing via Nano-Opto-Electro-Mechanical (NOEM) coupled quantum oscillators
About the Project
Supervisors:
Dr Yoshishige Tsuchiya yt2@ecs.soton.ac.uk
Dr Srinandan Dasmahapatra sd@ecs.soton.ac.uk
This project, within the EPSRC Centre for Doctoral Training in Quantum Technology Engineering at the University of Southampton (https://qte.ac.uk), carries a UKRI TechExpert enhanced annual stipend around £31k for UK students. While researching the project outlined below you will also receive substantial training in scientific, technical, and commercial skills.
Project Description:
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. The project could either follow a modelling approach or a device fabrication route.
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. We propose Nano-opto-electro-mechanical (NOEM) coupled oscillators as a potential candidate for quantum coupled oscillators and to create models for such 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.
For more information, please contact the supervisor: Dr Yoshishige Tsuchiya yt2@ecs.soton.ac.uk
Entry Requirements:
Undergraduate degree (at least UK 2:1 honours degree, or international equivalent).
Closing Date:
31 July 2026. International applicants must apply before 31 March 2026.
Funding:
See funding notes below.
How to Apply:
Please apply via the online portal and select:
- Programme type: Research
- Academic year: 2026/27
- Full time or part time
- Faculty: Engineering and Physical Sciences
Search for programme PhD Quantum Tech Eng
Please add the name of the supervisor in section 2 of the application.
Applications should include:
- your CV (resumé)
- 2 academic references
- degree transcripts/ certificates to date
- English language qualification (if applicable)
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