Porto / La Jolla / Pittsburgh / Cambridge / Nashville / Washington / /
Company
SAIC-Frederick Incorporated / /
Country
France / United States / /
Currency
pence / / /
Facility
Skaggs Institute / National Institute of Standards and Technology / C terminus / Jim Ayers Institute / Vanderbilt University / National Cancer Institute / University of Pittsburgh School / Laboratory of Proteomics / Scripps Research Institute / The Scripps Research Institute / /
IndustryTerm
a3a4a5 network / photonic networks / experimental quantum information processing / 2D systems / online version / large-scale processing / quantum information processing / chemical nature / Online Material / energy separation / tum information protocols / large-scale ion trap quantum information processing / large-scale trappedion device / excess energy / energy eigenstates / quantum information processors / quantum computing / physical systems / /
Organization
state-dependent force / National Cancer Institute / Austrian Science Fund / Austrian Ministry of Science and Research / Cambridge Univ. / Department of Pharmacology / Laboratory of Proteomics and Analytical Technologies / Center for Matrix Biology / National Institute of Standards and Technology / Department of Medicine / Vanderbilt University School of Medicine / University of Pittsburgh School of Medicine / Skaggs Institute for Chemical Biology / American Association for the Advancement of Science / Vanderbilt University / Scripps Research Institute / European Union / Jim Ayers Institute for Precancer Detection and Diagnosis / Division of Nephrology / Time and Frequency Division / /
Person
Dietrich Leibfried / Nat / Roberto Vanacore / David J. Wineland Large-scale / John D. Jost / Jason M. Amini / R. Blatt / Amy-Joan L. Ham / C. Monroe / David Hanneke / Frederick / Markus Voehler / /
Complete Methods Set for Scalable Ion Trap Quantum Information Processing Jonathan P. Home, et al. Science 325, [removed]); DOI: [removed]science[removed]The following resources related to this article are available onli