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 invariants 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.
Key Responsibilities
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Conduct research on quantum algorithms with a focus on topological and geometric invariants of data
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Develop mathematical frameworks that exploit problem structure to improve resource efficiency and error robustness
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Design, implement, and optimize quantum algorithms on simulators and Quantinuum’s quantum hardware
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Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
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Collaborate with industry and academic partners on projects exploring the near-term applications and feasibility of quantum algorithms for QTDA.
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Communicate scientific results internally across teams and externally through publications and conference presentations
Requirements
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PhD (or equivalent experience) in physics, mathematics, computer science, or a related field
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Research experience in quantum algorithms, ideally with exposure to Quantum Topological Data Analysis and/or Quantum Error Correction.
What We Value
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Demonstrated research track record through publications in quantum algorithms, computational topology, or related areas
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Hands-on experience implementing quantum algorithms on quantum hardware
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Strong understanding of quantum error correction and algebraic topology
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Excellent written and oral communication skills
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Programming experience in a high-level language such as Python and familiarity with quantum software frameworks such as pytket, Guppy, or Qiskit
