Quantum Application Calibration Research Scientist, Quantum AI
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Minimum qualifications:
- PhD in Physics, Chemistry, or Electrical Engineering, or equivalent practical experience.
- Experience in theoretical quantum physics.
- Experience in Python.
Preferred qualifications:
- Experience with one or more types of qubits, including superconducting qubits, neutral atoms, trapped ions, NV centers, and quantum dots.
- Experience with NISQ applications, error mitigation.
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.
Calibrating quantum devices for beyond-classical noisy intermediate-scale quantum (NISQ) applications is extremely hard due to high precision requirements, large numbers of error channels, and stringent calibration time requirements. In this role, you will prototype characterization methods to provide actionable information to improve hardware performance. You will also create benchmarking algorithms to ensure our hardware performs reliably for large-scale quantum circuits and develop error mitigation schemes.
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.
Responsibilities
- Establish methods for benchmarking and optimizing large-scale NISQ quantum circuits.
- Support experimentalists on calibrating quantum gates and control pulses.
- Identify the underlying culprits causing reduced performances in circuit environments.
- Develop error-mitigation schemes and simulation tools for near-term applications.
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