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Efficient Gate Set Tomography on a Multi-Qubit Superconducting Processor

Nielsen, Erik N.; Rudinger, Kenneth M.; Blume-Kohout, Robin; Bestwick, Andrew; Bloom, Benjamin; Block, Maxwell; Caldwell, Shane M.; Curtis, Michael J.; Hudson, Alex; Orgiazzi, Jean-Luc; Papageorge, Alexander; Polloreno, Anthony; Reagor, Matt; Rubin, Nicholas; Scheer, Michael; Selvanayagam, Michael; Sete, Eyob; Sinclair, Rodney; Smith, Robert; Vahidpour, Mehrnoosh; Villiers, Marius; Zeng, William J.; Rigetti, Chad

Abstract not provided.

High Performance Computing - Power Application Programming Interface Specification Version 2.0

Bays, Nathan R.; Grant, Ryan; Levenhagen, Michael; Olivier, Stephen L.; Bays, Nathan R.; Ward, Harry L.; Younge, Andrew J.

Measuring and controlling the power and energy consumption of high performance computing systems by various components in the software stack is an active research area. Implementations in lower level software layers are beginning to emerge in some production systems, which is very welcome. To be most effective, a portable interface to measurement and control features would significantly facilitate participation by all levels of the software stack. We present a proposal for a standard power Application Programming Interface (API) that endeavors to cover the entire software space, from generic hardware interfaces to the input from the computer facility manager.

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Results 4126–4150 of 9,998
Results 4126–4150 of 9,998
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