Quantum Error Correction Researcher (Decoding)

Cambridge, UK | Full-time | Permanent | Hybrid Salary: £65,000 to £80,000, DOE The salary range for this role is broad, as we are able to consider varying levels of experience. Any offer made will carefully take into account level of experience (including relevant industry experience), transferable relevant skills and previous relevant achievements. We will also consider part-time applications for this role. Please indicate your preferred working schedule in your cover letter. About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. Having raised more than $125M in funding to date to accelerate our cutting-edge R&D in quantum error correction (QEC), Riverlane partners with many of the world’s leading quantum hardware providers and government agencies to make fault-tolerant quantum computing a reality. We’re making remarkable progress and growing fast.  About the role As a Quantum Error Correction Researcher at Riverlane, you will help us to develop the world’s first Quantum Error Correction (QEC) stack that will unlock useful quantum computing. We have a fantastic opportunity to join one of Riverlane’s research teams. This highly collaborative group brings together mathematicians, physicists, computer scientists and software engineers, working side by side on the most pressing problems to unlock practical fault tolerant quantum computation. We are a team with a broad focus, exploring the full spectrum of decoder research, spanning blue-sky investigations through to work that directly informs Riverlane's products. This includes designing novel decoding algorithms that correct quantum errors both accurately and quickly, identifying and addressing the decoding challenges specific to different qubit modalities. We actively collaborate with Riverlane's quantum computing partners to better understand and model their qubits' error processes, feeding these insights into our models to improve decoding performance. What you will do • Learn about the cutting-edge of research in quantum computing and QEC. • Develop novel decoding algorithms and techniques. • Assess the decoding challenges across a range of qubit modalities and quantum codes and design/create tailored decoding approaches for each platform. • Consider how improved modelling of the physical noise processes on qubits can be used to improve the accuracy of our decoding schemes. • Test and verify hypotheses, including by numerical methods. • Present results and sha re expertise with other teams at Riverlane to guide development of various parts of the QEC stack. • Write papers and present work at conferences. What we need • A Master’s or PhD in Mathematics, Physics, Computer Science, or a related technical field, or equivalent relevant industry experience. • Knowledge of at least one programming language (Python and/or C++ preferred). • Ability to work effectively both independently and as part of a team. • Strong written and oral communication skills, with the ability to discuss complex ideas with a variety of audiences in a clear and simple way. • Demonstrated ability to independently formulate and pursue open-ended theoretical problems, e.g. through a dissertation/thesis or research project • Ability to learn from and build upon ideas in academic literature • An algorithmic perspective to prob