NISQ Computational Research Scientist, Quantum AI
Company: Google
Location: Goleta, CA, USA; Los Angeles, CA, USA
Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
Minimum Qualifications:
- PhD degree in Physics, Math, a related field, or equivalent practical experience.
- One or more scientific publication submission(s) for conferences, journals, or public repositories.
- Experience with quantum computing.
- Experience with simulations of quantum systems.
- Experience in many-body physics.
Preferred Qualifications:
- 2 years of coding experience.
- 1 year of experience owning and initiating research agendas.
- Experience with high-performance computing, including GPU (e.g., cupy, cuTensor, CUDA kernels, tensorcores), low-level CPU optimizations (e.g., simd, dynamical dispatching), Simple Linux Utility for Resource Management (SLURM).
- Experience with development of high-performance software for quantum simulations.
- Experience with computational quantum physics.
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 set up 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.
This role will be focused on the design and implementation of numerical simulation algorithms for NISQ and early fault-tolerant experiments on quantum hardware, including the physics of quantum chaos, phase transitions, integrability breaking, and topological states fractionalized excitations. This can predict and verify the output of quantum hardware and set benchmarks of complexity, spoofing methods, and approximate algorithms physical structure of the system. Design of such algorithms requires understanding of many-body physics to exploit low entanglement, mean field and perturbative approaches, and computational methods. Implementation of such algorithms requires use of memory and computational protocols for caching of intermediate results.
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
- Author research papers to share and generate impact of research results across the team and in the research community.
- Identify new and upcoming research areas by interacting with potential external and internal collaborators. Help in developing long-term research strategy and plans to expand the impact of Google research with some guidance. Contribute to conducting experiments. Develop research prototypes or conduct simulations to further evaluate the impact of research, finalize hypotheses, and refine the research methodology under minimal guidance.
- Design exact classical algorithms to simulate large-scale quantum circuits at arbitrary energy density (i.e., state-vector simulations and tensor-network contractions).
- Develop efficient classical simulation code.
- Work closely with hardware engineers implementing and benchmarking physics experiments.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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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