Research Scientist, Gate Measurement, Quantum AI

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

Benefits offered by this job

Equity

Benefits

Job summary

Google Quantum AI's Gates team seeks a Research Scientist to identify noise processes through precise error benchmarking and apply findings to gate design and architecture parameters. You will implement improved error-metrology circuits and compare results with theory models.

Collaboration with hardware, software, and theory teams will drive forward-looking architectures and hardware requirements for scalable quantum computing.

Qualifications

• PhD or equivalent practical experience in a technical 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-looking architectures.
• Develop software infrastructure and tools for wider team use.

Skills

Data analysis

Programming

Statistical analysis

Hardware calibration

Education

PhD in Physics/Applied Physics/Electrical Engineering

Job description

Minimum qualifications

• 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.

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

Responsibilities

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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .