Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Aug 18, 2026. Quantinuum scores B on the Alion truth index.
Quantinuum is opening an internship position for the Quantum Error Correction (QEC) team in the United Kingdom. If selected, you will work on an active project that contributes towards the architectural design, analysis, and implementation of our QEC stack. The project will be related to one of the following: algebraic geometry, tensor network / ZX calculus, QEC code automorphisms, accelerate the classical simulation of non-Clifford fault-tolerant (FT) QEC gadgets, design of compact FT magic state preparation gadgets, development of partially-FT techniques to reduce noise on large-scale quantum algorithms, or demonstrate small-scale fully-FT quantum algorithms in Quantinuum’s trapped-ion hardware.
Based in the London-Victoria or Cambridge offices, you will be working in a research-focused group with scientific direction from experienced QEC researchers, with a close connection to hardware and software engineers. You will work towards a scientific publication and / or software libraries. This is an excellent opportunity to advance the theory and practice of quantum computing while building your professional and academic career.
You must have an interests In QEC and evidence of researching publications showing your ability to understand the fundamentals of QEC and contribute towards new ideas. Ideally working of QEC projects in your studies.
Key Responsibilities:
- Contribute to an active research project supervised by Quantinuum’s QEC experts.
- Writing a research paper and / or software libraries that accelerate the research in QEC.
- Participate in the day-to-day activities of the QEC team: discussions, journal clubs, seminars, etc…
Key Requirements:
- Research publications showing evidence of your ability to understand the fundamentals of QEC and contribute towards new ideas.
- A bachelor’s or master’s degree or equivalent in Maths, Computer Science, Physics or a related discipline.
- Scientific computing, programming in Python.
Desirable Skills:
- Experience with one or more of high-speed languages like C++, Rust, Julia.
- Communicating scientific ideas clearly and precisely, both verbally and in writing.

