Research Scientist, Quantum Error Correction, Quantum AI
at Alphabet
Posted 17 hours ago
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- Compensation
- $141,000 – $202,000 USD
- City
- San Francisco, Los Angeles, Seattle
- Country
- United States
Currency: $ (USD)
Google Quantum AI is seeking a Research Scientist to develop quantum error correction schemes for fault-tolerant quantum computing, with an emphasis on superconducting qubits and high-connectivity architectures. You will design and analyze fault-tolerant circuits, study LDPC codes, and develop decoding algorithms while navigating hardware connectivity tradeoffs. You will simulate codes under realistic noise models, publish findings, and collaborate with partner universities and technical institutes globally. The US base salary ranges from $141,000 to $202,000, plus bonus, equity, and benefits.
Research Scientist, Quantum Error Correction, Quantum AI
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- 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.
Preferred qualifications:
- 1 year of experience owning and initiating research agendas.
About the job
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.
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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