EFFICIENT QUANTUM GATE TUNING THROUGH STATISTICAL MODELING

EFFICIENT QUANTUM GATE TUNING THROUGH STATISTICAL MODELING

Systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems or quantum computers, and more particularly, to benchmark-driven automation for tuning quantum computers are described. A method and a system are described for an active stabilization a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Maunz, Peter Lukas Wilhem, ZIMMERMAN, Chase Parker, Widdows, Dominic
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Systems and methods for use in the implementation and/or operation of quantum information processing (QIP) systems or quantum computers, and more particularly, to benchmark-driven automation for tuning quantum computers are described. A method and a system are described for an active stabilization approach for efficient quantum gate tuning or calibration in quantum computers through statistical modeling that involves an iterative process in which odd population error tests and even population balance tests are used to identify which quantum gates from a failed set of quantum gates need calibration.