degree in Physics, Computer Science, Mathematics, or Computer Engineering preferred.Įxperience developing analytical and numerical models and algorithms, quantum and classical.Įxperience building theoretical or software tools that enable effective use of near-term quantum hardware.Įxperience with theoretical physics methods of analysis, optimization or machine learning methods.Ībility to work independently and effectively as part of a multidisciplinary team.Ībility to prioritize tasks, coordinates work of others, and meets multiple deadlines. Proven organizational and communication skills. Lead and contribute technical content to research proposals, research publications, technical briefings, recruitment and mentoring of interns.Įither relevant postdoctoral work or research experience in the field of Quantum Physics, or Applied Mathematics, or Applied Computer Science.Įxperienced in publishing related work in peer reviewed journals, and contributing to obtaining new funding in the areas above. Invent and analyze new quantum algorithms or protocols of computation.ĭevelop, and test applications of quantum computing for specific problems such as those involving planning and scheduling of unmanned aerial systems and autonomous mobile robots, data analysis, and a number of other partner problems in the domain of optimization and machine learning.ĭevelop beyond-state-of-art classical computing techniques (optimization, machine learning) entanglement, co-tunneling, many-body effects etc.) that can be used to provide a quantum computational advantage.įollow, understand and review the technological developments in the sector of quantum computing, and related tangential domains, including the emergence of other post-Moore computing platforms.ĭevelop new analytical, or experimental, or numerical techniques to better analyze realistic quantum computational paradigms. The researcher explores the physics of quantum algorithms, the robustness of the hardware, develops best practice programming techniques for quantum hardware, and illuminates the inner workings to better understand the mechanisms (e.g. This could involve design of experiments to run on emerging hardware to give insights into quantum approaches to problems of interest to NASA and other partners from the U.S. The goal of the research effort is to improve current models of quantum computing (in particular gate-model and quantum annealing) or to study unconventional paradigms of computation (for instance, optically Coherent Ising Machines). The Research Scientist for Quantum Computing and Optimization will work at the forefront of research in the theory of quantum enhancement of computation. The team works in partnership with a number of organizations from academia, industry and the U.S. Research focuses on testing and evaluating emerging quantum hardware, investigations of quantum mechanisms that may be used to provide a quantum advantage, development of new algorithms and software for quantum computing, and application of quantum computing to a range of real-world problems involving planning and scheduling, machine learning, and fault diagnostics. Additionally, RIACS leads research projects sponsored by DARPA and National Science Foundation on applied quantum computing. USRA’s Research Institute for Advanced Computer Science (RIACS) operates a Quantum Computing Artificial Intelligence Lab at NASA’s Ames Research Center that conducts strategic multi-disciplinary, integrative research and science that supports NASA’s long-term mission requirements. more.The availability of this role is contingent upon contract funding which is expected to take up to 6 months. Job Listings Find by ID# or keywordsĪll, +(3), Accelerator and Beam Physics(1), Accelerator and Plasma Physics(2), Accelerator Instrumentation(1), Accelerator Physics(1), adsorption and layered material physics(1), AMO (Atomic, Molecular, and Optical)(1), Any(2), Applied Physics(2), artificial gauge fields(2).
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