Research Scientist, Quantum Error Correction, Quantum AI
About The Position
As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes. Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
Requirements
- PhD degree in Quantum Computing domain, such as Math, Physics, Computer Science, Electrical Engineering, or equivalent practical experience.
- Research publication experience in quantum error correction.
Nice To Haves
- 1 year of experience owning and initiating research agendas.
Responsibilities
- Develop new quantum codes that achieve high encoding rate, high distance, and/or favorable layout in hardware. Important examples include LDPC codes and yoked encoding schemes. Adapt error correction circuits to hardware constraints on connectivity.
- Analyze fault-tolerant circuits for syndrome measurement and logical operations.
- Simulate quantum codes under noise models and evaluate performance.
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What This Job Offers
Job Type
Full-time
Education Level
Ph.D. or professional degree
