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Quantum Computing for Clean Energy Systems Research

Modeling, Computation, Nonlinearity, Randomness and Waves Seminar

Quantum Computing for Clean Energy Systems Research
Series: Modeling, Computation, Nonlinearity, Randomness and Waves Seminar
Location: Hybrid: Math 402/Online
Presenter: Peter Graf, Computational Science Center, National Renewable Energy Laboratory

Quantum Computing (QC) represents a new paradigm for computing, with potential exponential speedups on many important tasks relevant to clean energy.  In this talk we will briefly introduce the quantum computational model, then move on to describe some areas where we are exploring the use of so called “noisy intermediate scale quantum” (NISQ) computing to address issues in renewable energy.  Even near-term QC shows promise in the areas of both combinatorial optimization and materials simulation, which find wide application in renewable energy.  We will describe representative problems in both optimization (optimal placement of sensors on a power grid, chance constrained optimization) and materials (calculation of the bond dissociation curve of TiH, a QC formulation of the “singlet fission” process) and discuss the status and prospects of QC in both near and longer term.

Place: Math, 402 and
Password:  “arizona” (all lower case)