Symmetry-Restricted Quantum Parameterised Circuit Generative Models
University of Southampton · Faculty of Engineering and Physical Sciences
England, United Kingdom
30 September 2026; exact cutoff time was not stated on the FindAPhD project page.
About This Opportunity
University of Southampton is offering a PhD on quantum generative machine-learning models built from symmetry-constrained parameterised quantum circuits.
The project studies hybrid quantum-classical generative modelling and uses symmetry to restrict quantum-circuit parameter spaces and representations, with the goal of reducing training bottlenecks and improving sample-efficient learning.
quantum machine learning generative models quantum circuits symmetry hybrid algorithms
Requirements
Education
Applicants must have a UK 2:1 honours degree or international equivalent.
Experience
- Quantum computing
- Parameterized quantum circuits
- Generative modelling
- Machine learning
- Symmetry methods
Level PhD
Programme PhD Computer Science (7089)
Field Quantum Generative Machine Learning
Specialization Artificial Intelligence & Data Science
Organization Type University
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