Quantum Error Correction Researcher (Decoding Algorithms)
Role details
Job location
Tech stack
Job description
We have a fantastic opportunity to join our decoding and algorithms team as a Quantum Decoding Algorithms Researcher.
In this role, you will work on the design, implementation, and optimisation of decoding algorithms for quantum error correction, while leveraging ideas and techniques from classical error correction, signal processing, and probabilistic inference. You will collaborate closely with quantum hardware teams, software engineers, and researchers to develop practical, high-performance decoders that operate under real-world constraints such as latency, noise bias, and hardware-specific error models.
This position is intentionally open to candidates from both quantum and classical error-correction backgrounds. If you have experience building or analysing classical codes and decoders - such as LDPC, turbo, polar, belief propagation, or related algorithms - and are excited to apply these ideas in the quantum domain, we strongly encourage you to apply. You will be supported in developing quantum-specific knowledge as part of the role.
This role is well suited to someone who enjoys combining theory with implementation, and who wants to see their research translated into real systems.
What you will do
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Learn and develop a deep understanding of quantum error correction and quantum noise models
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Design, analyse, and implement decoding algorithms for quantum error correcting codes
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Adapt and extend classical decoding techniques (for example belief propagation, message passing, or graph-based methods) for quantum applications
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Optimise decoders for performance, accuracy, and hardware constraints such as low latency and limited classical compute resources
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Share knowledge across teams and contribute to the broader decoding and QEC software stack
Requirements
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Master's degree or PhD in Mathematics, Physics, Computer Science, Electrical Engineering, or a related technical field (or equivalent professional experience)
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Strong programming skills in Python, C++, or similar scientific computing languages
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Experience with algorithms for error correction, probabilistic inference, graph algorithms, or optimisation (quantum or classical)
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Strong analytical and problem-solving skills
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Ability to work effectively both independently and as part of a collaborative, interdisciplinary team
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Clear written and verbal communication skills, with the ability to explain complex ideas to technical and non-technical audiences
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Curiosity, adaptability, and a strong desire to learn new technical domains
Even better if you have
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Experience with classical error correction or decoding algorithms (for example LDPC, turbo codes, polar codes, belief propagation, Viterbi, or related methods)
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Prior experience working on quantum error correction or quantum computing
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Familiarity with stabilizer codes, surface codes, or quantum LDPC codes
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Experience working with noisy experimental data or hardware-in-the-loop systems
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Background in high-performance computing, GPU acceleration, or real-time systems
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Experience publishing scientific research or contributing to open-source scientific software
Benefits & conditions
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A comprehensive benefits package that includes an annual bonus plan, private medical insurance, life insurance, and a contributory pension scheme
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Equity, so that our team can share in the long-term success of Riverlane
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28 days annual leave, plus bank holidays and enhanced family leave
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A diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities
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A learning environment that encourages individual, team and company growth and development, including a regular programme of learning events and training and conference budgets