Research Scientist, Gate Measurement, Quantum AI

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

Benefits offered by this job

Bonus target

Equity

Benefits

Job summary

The Gates team at Google Quantum AI in Goleta, CA is pursuing fidelities necessary for long-lived logical qubits. As a Research Scientist, you will identify noise processes through precise error benchmarking and use these results to optimize gate design and architecture.

You will implement improved error-metrology circuits, cross-validate with theory models, and collaborate with hardware and software engineers to define hardware requirements for forward-looking architectures.

Qualifications

• PhD in Physics, Applied Physics, or Electrical Engineering 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.

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

Experimental data analysis

Programming

Statistical analysis

Hardware calibration

Education

PhD in Physics or related field

Job description

Research Scientist, Gate Measurement, Quantum AI

Share Research Scientist, Gate Measurement, Quantum AI

Google 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-lived 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.

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

• 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.