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.

The overall job responsibility is modeling of quantum gates based on superconducting qubits, with the focus on two-qubit gates with tunable couplers, using either parametric or non-parametric coupling. This includes developing investigative and numerical models of various physical processes leading to gate errors. Numerical simulations using these models are then compared with experimental results and used for gate optimization. The work will be in close collaboration with the hardware team and will include analysis and theoretical understanding of experimental data.

In this role, you will be focused on advancing the capabilities of quantum computing and enabling meaningful 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 $147,000-$211,000 + 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

• Simulate two-qubit gates for transmons, and model tunable couplers.

• Develop physics-based models for gate error mechanisms, including gate errors due to pulse distortions.

• Optimize system parameters numerically.

• Analyze experimental data on two-qubit gates.

• Propose and analyze new gates with advanced performance.

Minimum qualifications

• PhD degree in Physics or Electrical Engineering, or equivalent practical experience.

• Experience with coding in Python.

• One or more scientific publication submissions for conferences, journals, or public repositories related to quantum computing.

Preferred qualifications

• Experience with superconducting qubits, including modeling of two-qubit gates, and gates calibration and characterization.

• Experience in collaboration with experimentalists on quantum projects or analyzing/modeling experimental data.

• Experience with tunable couplers, parametric gates and flux/charge noise analysis.

• Experience in quantum error correction with superconducting qubits.

• Experience in modeling microwave pulse distortions and its impact on gate error.

• Experience in modeling multi-chip interconnection and gate operation.