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Ion Trap AI/ML Quantum Performance & Routine Optimization (ITAQPRO)

Project Details

Principal Investigator

We will provide an INTERSECT quantum edge node (IQEN) to provide the other INTERSECT edge nodes and HPC resources access to a quantum computer/simulator/accelerator for natively quantum tasks including those from the Spallation Neutron Source (SNS) and materials sciences and technology edge node(s). In particular, we will support quantum simulation/validation of the SNS edge node Hamiltonian deep learning (HDL) routines. The current on-site quantum computing/simulation capability is labor-limited and will furthermore be limited in the near term by a lack of readily available control electronics. We intend to close this labor and near-term control electronics gap by leveraging Artificial Intelligence/Machine Learning (AI/ML) at an IQEN using commercially- or open-source-available experimental control hardware to optimize the performance of an on-site trapped ion quantum simulator/computer.



Research Scientist
Christopher Seck Portrait Image