Research Scientist, Calibration and Control Schemes, Quantum AI
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Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Los Angeles, CA, USA; Goleta, CA, USA.
Minimum qualifications:
- PhD in Physics, Electrical Engineering, or a related field.
- Experience with quantum computing and its hardware implementation.
- Experience with programming in Python.
Preferred qualifications:
- Experience with quantum control.
- Experience with calibrated quantum gates and their control pulses.
- Experience with complex workflows in a collaborative lab environment.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will be prototyping calibration techniques for quantum error-correcting circuits to build a long-lived logic qubit, developing tunable two-qubit gates scalable for 100+ qubits, and supporting our experimentalists with precise, and fast calibration protocols.
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.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Define the data structure, framework, design, and evaluation metrics for research solution development and implementation under minimal guidance. Identify timelines and obtain resources needed.
- Contribute to conducting experiments based on the research question. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
- Develop protocols to calibrate Quantum Error Correction (QEC) circuits in context.
- Implement scalable tunable two-qubit gates via simultaneous control of microwave and exchange coupling.
- Characterize errors in superconducting qubits such as stray couplings and leakages.
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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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