Quantum Gate Measurement Scientist - AI Research, Equity

Google LLC; 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

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.