Survey of control performance in quantum information processing |
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Authors: | David Hocker Yicong Zheng Robert Kosut Todd Brun Herschel Rabitz |
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Affiliation: | 1.Department of Chemistry,Princeton University,Princeton,USA;2.Center for Quantum Technologies,National University of Singapore,Singapore,Singapore;3.Department of Engineering,University of Southern California,Los Angeles,USA;4.SC Solutions Inc,Sunnyvale,USA |
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Abstract: | There is a rich variety of physics underlying the fundamental gating operations for quantum information processing (QIP). A key aspect of a QIP system is how noise may enter during quantum operations and how suppressing or correcting its effects can best be addressed. Quantum control techniques have been developed to specifically address this effort, although a detailed classification of the compatibility of controls schemes with noise sources found in common quantum systems has not yet been performed. This work numerically examines the performance of modern control methods for suppressing decoherence in the presence of noise forms found in viable quantum systems. The noise-averaged process matrix for controlled one-qubit and two-qubit operations are calculated across noise found in systems driven by Markovian open quantum dynamics. Rather than aiming to describe the absolute best control scheme for a given physical circumstance, this work serves instead to classify quantum control behavior across a large class of noise forms so that opportunities for improving QIP performance may be identified. |
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