Research Scientist, Gate Measurement, Quantum AI

Google Inc.; Goleta (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google's Quantum AI team in Goleta is seeking a Research Scientist to advance gate measurement for high-fidelity quantum logic. You will identify noise processes, design and test error‑metrology circuits, and collaborate with theory, hardware, and software colleagues to push toward scalable, error‑corrected quantum computation.

The role emphasizes cross‑disciplinary analysis, architecture studies, and translating hardware requirements into forward‑looking designs, with individual pay reflecting

Qualifications

• PhD in Physics, Applied Physics, Electrical Engineering or related field.
• Experience collecting and analyzing data in an experimental setting.
• Experience with programming and statistical analysis of datasets.
• Experience with techniques to characterize and calibrate hardware performance.

Responsibilities

• Characterize and identify limiting error mechanisms in quantum logic gates.
• Collaborate with theory team to build and verify physics models for noise and error processes in quantum logic gates.
• Perform detailed architecture modeling, analyze design parameters and build hardware system specifications for forward-look architectures.
• Develop software infrastructure and tools for wider team use.

Skills

Gate measurement

Experimental data analysis

Programming & stats

Hardware calibration

Education

PhD in Physics

Job description

Research Scientist, Gate Measurement, Quantum AI

Share Research Scientist, Gate Measurement, Quantum AI

corporate_fare Google place Goleta, CA, USA

• PhD in Physics, Applied Physics, or Electrical Engineering, a related technical field, or equivalent practical experience.
• Experience collecting and analyzing data in an experimental setting.
• Experience with programming and statistical analysis of datasets.
• Experience with techniques to characterize and calibrate hardware performance.

Preferred qualifications:

• Experience in analysis and modeling of multi‑qubit quantum platforms.
• Experience collecting and analyzing data in an experimental setting.
• Experience with techniques to characterize and calibrate hardware performance.
• Proficiency with programming and statistical analysis of large datasets.

About the job

The Gates team is executing a multipronged research program to reach fidelities required for long‑life logical qubits. As a Gates Research Scientist, you will work on identifying noise processes through precise error benchmarking and use these results to identify new gate design and architecture parameters. You will implement improved error‑metrology circuits and cross‑validate them with physical models from the theory team. You will also be responsible for conducting detailed architecture analysis and simulations, and defining hardware requirements of new gate designs for forward‑looking architectures.

As a Research Scientist, you will collaborate with other research scientists, hardware engineers, and software engineers to make high‑performance quantum computing a reality.

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.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

About the job

The Gates team is executing a multipronged research program to reach fidelities required for long‑life logical qubits. As a Gates Research Scientist, you will work on identifying noise processes through precise error benchmarking and use these results to identify new gate design and architecture parameters. You will implement improved error‑metrology circuits and cross‑validate them with physical models from the theory team. You will also be responsible for conducting detailed architecture analysis and simulations, and defining hardware requirements of new gate designs for forward‑looking architectures.

As a Research Scientist, you will collaborate with other research scientists, hardware engineers, and software engineers to make high‑performance quantum computing a reality.

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.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Characterize and identify limiting error mechanisms in quantum logic gates.
• Collaborate with theory team to build and verify physics models for noise and error processes in quantum logic gates.
• Perform detailed architecture modeling, analyze design parameters and build hardware system specifications for forward‑look architectures.
• Develop software infrastructure and tools for wider team use.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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