Research Scientist

About the team The Quantum Computing Research team is dedicated to developing innovative methods to get the best possible performance from contemporary and next generation quantum computers. We push toward quantum advantage by developing cutting-edge applications, employing AI, control theory, and physics principles to optimize and automate critical parts of the quantum computing stack. We conduct pioneering research looking toward the near future, including quantum error correction and the integration of quantum computers with high performance computing and data centers.  

About the role

At Q-CTRL, we’re pioneering the future of quantum technology. Our research team is seeking a Senior Research Scientist to design and implement quantum algorithms and workflows that underpin our product offerings and external demonstrations. This role centers around quantum error correction (QEC) research. You’ll collaborate closely across research and engineering teams to produce high impact research and publication and to translate scientific advances into high-impact software solutions.

As a Research Scientist, you’ll be responsible for developing solutions for quantum technologies and deploying them in the Q-CTRL product suite.

What you'll be doing:

• Identify key architectural bottlenecks for a FTQC and implement efficient and reliable methods to solve key challenges facing real quantum computers.
• Conducting innovative research on aspects of QEC, such as, but not limited to:
• designing and optimizing decoders 
• developing compilation schemes and computation architectures for FTQC
• optimizing logical operation schemes
• using QEC primitives to boost near term applications
• Stay up to date with advances in quantum computing and QEC research, applying this knowledge to develop cutting-edge methodologies.
• Utilize methods from a range of fields, including control theory, optimization, machine learning, computer science, and data analysis.
• Publishing high-impact papers and presenting at top conferences
• Collaborate with engineering teams to translate your ideas into production-quality software.
• Explain and present your work in clear and accessible language. Incorporate feedback and foster effective collaboration with colleagues.
• Use open-source scientific computing packages like Qiskit, NumPy, Networkx, Scipy, Scikit-learn, and PyTorch to build high-quality research code to develop, demonstrate, and test new algorithms and methods.

Ideally you'll have:

• A PhD degree in Physics, Engineering, Mathematics, Computer Science, or a related discipline.