Quantum Error Correction Calibration Research Scientist, Quantum AI Full-time

Minimum qualifications:

• PhD in Physics, Chemistry, Electrical Engineering, or equivalent practical experience
• Experience in Python programming
• One or more scientific publication submission(s) for conferences, journals, or public repositories

Preferred qualifications:

• 2 years of experience in coding
• 1 year of experience owning and initiating research agendas
• Experience with one or more types of qubits, including but not restricted to superconducting qubits, neutral atoms, trapped ions, NV centers, and quantum dots
• Experience with quantum error correcting codes

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.

When operating a future fault-tolerant quantum computer, a large fraction of that time will be spent implementing quantum error correction circuits. As such, it is crucial to build bespoke tools for effectively characterizing the device for these operations. In this role, you will pinpoint errors in surface code implementations and help our experimentalists and engineers fix them. You’ll also create benchmarking algorithms to ensure these powerful computers perform reliably for real-world applications.

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 $136,000-$200,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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

• Design protocols to find the underlying culprits leading to increased logical error rates.
• Validate the protocols with numerical simulations and experiments on hardware.
• Support the experimentalists and engineers to eliminate the culprits.
• Optimize the surface code circuits based on characterization data.
• Develop benchmarks for early fault-tolerant applications.