nasa ames research center salary california

As gate-model processors have matured, with gate-model processors with 10s of qubits now available, the group has extended its research to include substantial gate-model efforts in addition to deepening our quantum annealing research. The team’s initial focus was on quantum annealing, since D-Wave quantum annealers were the first quantum computational devices available. The team has international recognized approaches to the programming and compilation of optimization problems to near-term quantum processors, both gate-model quantum processors and quantum annealers, enabling efficient utilization of the prototype quantum hardware available for experimenting with quantum and quantum-classical hybrid approaches for exact and approximate optimization and sampling.The has ongoing research developing quantum computational approaches to challenging combinatorial optimization and sampling problems with relevance to areas such as planning and scheduling, fault diagnosis, and machine learning.Ī key component of this work is close collaboration with quantum hardware groups. NASA’s QuAIL team has extensive and experience utilizing near-term quantum computing hardware to evaluate the potential impact of quantum computing. NASA’s QuAIL team aims to demonstrate that quantum computing and quantum algorithms may someday dramatically improve the agency’s ability to address difficult optimization and machine learning problems arising in NASA’s aeronautics, Earth and space sciences, and space exploration missions.

QuAIL is the space agency’s hub for assessing the potential of quantum computers to impact computational challenges faced by the agency in the decades to come. NASA Quantum Artificial Intelligence Laboratory (QuAIL) Quantum Artificial Intelligence Laboratory.Ames Exploration Technology Directorate.

Nasa ames research center salary california