Visiting Research Fellow for Quantum Algorithms

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

We are seeking a strong quantum computing researcher to develop quantum algorithms for generative diffusion models using path integral formulations. This project aims to advance quantum machine learning by:

• Designing a quantum counterpart of diffusion models;
• Leveraging path integral methods to model stochastic differential equations (SDEs);
• Extending recent quantum simulation techniques to accommodate non-physical processes found in generative diffusion modeling;
• Demonstrating a prototype of the quantum algorithm on Quantinuum hardware.

This candidate will contribute to both theoretical development (e.g., complexity analysis and algorithm design) and practical implementation (quantum circuit prototyping and execution)

Key Responsibilities

• Extend existing quantum path integral algorithms to diffusion model settings;
• Formulate and prove complexity theorems for the new algorithms;
• Develop and test prototype quantum circuits for small-scale systems;
• Collaborate with hardware and simulation experts to run experiments on real quantum devices;
• Document and present results to both technical and non-technical stakeholders.

• PhD or equivalent research experience in Quantum Computing, Theoretical Physics, Applied Mathematics, or a closely related field;
• Strong foundation in quantum algorithms, particularly simulation and path integral methods;
• Familiarity with stochastic processes, diffusion models, or generative AI;
• Proficiency in quantum programming frameworks (e.g., Qiskit, Cirq, or Quantinuum’s platforms);
• Strong analytical skills and ability to work independently on cutting-edge research problem;
• Experience with quantum hardware platforms (especially Quantinuum);
• Background in quantum machine learning or quantum statistical mechanics · Prior publications or demonstrated experience in quantum algorithm design. 

Location: [[Kent Ridge Campus]]

Organization: [[National University of Singapore]]

Department : [[Centre for Quantum Technologies]]

Job requisition ID : [[29369]]