Advanced R&D Scientist - Quantum Algorithms - 920

We are seeking a Research Scientist to join our team in Cambridge or London, working on the development of quantum algorithms with a focus on computing topological and geometric in variants of data. This role offers the opportunity to contribute to cutting‑edge research aimed at advancing the capabilities of quantum computers and exploring their potential advantages for real‑world applications.

In this role, you will develop novel quantum algorithms in computational topology and geometry, characterize their resource requirements and noise‑robustness properties, and explore potential applications of these algorithms for data analysis in the near‑fault tolerant era. You will implement these algorithms on Quantinuum’s quantum hardware and optimize their performance under realistic hardware constraints, leveraging error mitigation and quantum error correction.

You will collaborate closely with researchers across the full quantum computing stack—including hardware, quantum error correction, and software teams—to translate theoretical advances into experiments on real quantum processors. You will also support collaborations with academic and industry partners to explore and develop promising use cases for quantum topological data analysis.

Researchers in this role are encouraged to publish their work in leading scientific journals and present their results at top international conferences.

• Conduct research on quantum algorithms with a focus on topological and geometric in variants of data
• Develop mathematical frameworks that exploit problem structure to improve resource efficiency and error robustness
• Design, implement, and optimize quantum algorithms on simulators and Quantinuum’s quantum hardware
• Contribute to end‑to‑end resource estimation of quantum algorithms under realistic hardware constraints
• Collaborate with industry and academic partners on projects exploring the near‑term applications and feasibility of quantum algorithms for QTDA.
• Communicate scientific results internally across teams and externally through publications and conference presentations

• PhD (or equivalent experience) in physics, mathematics, computer science, or a related field
• Research experience in quantum algorithms, ideally with exposure to Quantum Topological Data Analysis and/or Quantum Error Correction.

• Demonstrated research track record through publications in quantum algorithms, computational topology, or related areas
• Hands‑on experience implementing quantum algorithms on quantum hardware
• Strong understanding of quantum error correction and algebraic topology
• Excellent written and oral communication skills
• Programming experience in a high‑level language such as Python and familiarity with quantum software frameworks such as pytket, Guppy, or Qiskit

• a highly competitive package
• equity
• 28 days of paid holiday (in addition to public holidays)
• a workplace pension
• a positive approach to flexible working
• enhanced parental and adoption benefits

Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.

By uniting best‑in‑class software with high‑fidelity hardware, our integrated full‑stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.

By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.

Visit our news pages to learn more about Quantinuum and our scientific breakthroughs and achievements:

Quantinuum Intro Video:
The Future of Quantum Computing

Please note that employment with us is subject to successfully passing our pre‑employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.