Research Scientist, Modeling of Readout and Reset, Quantum

Goleta, CAOnsiteFull Time$147,000–$210,000 /yrPosted 1 month agoVisa sponsorship available

Required skills

Physics
Electrical Engineering
qubit systems
Python
Quantum computing

Nice to have

superconducting qubit operations
readout
reset
numerical simulations
quantum systems
high-performance computing

Role summary

Google Quantum AI is seeking a Research Scientist to model qubit readout and reset operations, aiming to understand and reduce error mechanisms for building a practically useful quantum computer. The role involves developing and validating numerical models, collaborating with hardware teams, analyzing experimental data, and proposing new schemes for advanced performance. The scientist will contribute to the wider research community through publications and sharing findings. This position requires a PhD in Physics, Electrical Engineering, or equivalent, with experience in qubit system modeling and Python programming. Preferred qualifications include experience with superconducting qubits, numerical simulations, HPC, and microwave engineering.

Minimum qualifications:

PhD degree in Physics, Electrical Engineering, or equivalent practical experience.
Experience with modeling of qubit systems.
Experience in programming using Python.
One of more scientific publication submission(s) for conferences, journals, or public repositories related to Quantum computing.

Preferred qualifications:

Experience with modeling superconducting qubit operations, particularly readout and reset.
Experience with numerical simulations of quantum systems and with high-performance computing tools.
Experience collaborating with experimentalists on quantum computing projects or analyzing/modeling experimental data.
Experience with microwave engineering of superconducting qubits.
Experience with error correction codes.
Familiarity with circuit Quantum Electrodynamics (cQED).

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.

Google Quantum AI's goal is to build a practically useful quantum computer. Modeling of readout and reset team aims at quantitative understanding of error mechanisms of these operations, resulting in operation improvement and development of new schemes with advanced performance.

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

Learn more about benefits at Google.

Responsibilities:

Develop models for readout and reset in superconducting qubits, including numerical models of physical processes causing errors.
Validate models with experimental results for system optimization and design.
Collaborate closely with the hardware team to analyze and theoretically understand experimental data.
Develop and maintain software and integrate it with data-taking infrastructure.
Propose and analyze prospective readout and reset schemes with advanced performance.