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Characterization of Pathogens in Clinical Specimens via Suppression of Host Background for Efficient Second Generation Sequencing Analyses

Branda, Steven; Jebrail, Mais J.; Van De Vreugde, James L.; Langevin, Stanley A.; Bent, Zachary; Curtis, Deanna J.; Lane, Pamela; Carson, Bryan; La Bauve, Elisa; Patel, Kamlesh; Ricken, Bryce; Schoeniger, Joseph S.; Solberg, Owen D.; Williams, Kelly P.; Misra, Milind; Powell, Amy J.; Pattengale, Nicholas D.; May, Elebeoba; Lane, Todd; Lindner, Duane L.; Young, Malin M.; Vandernoot, Victoria A.; Thaitrong, Numrin; Bartsch, Michael S.; Renzi, Ronald F.; Tran-Gyamfi, Mary; Meagher, Robert M.

Abstract not provided.

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TYPE Conference YEAR 2012
OSTI

Optimized pulses for the control of uncertain qubits

Physical Review A - Atomic, Molecular, and Optical Physics

Carroll, M.S.; Witzel, Wayne M.

The construction of high-fidelity control fields that are robust to control, system, and/or surrounding environment uncertainties is a crucial objective for quantum information processing. Using the two-state Landau-Zener model for illustrative simulations of a controlled qubit, we generate optimal controls for π/2 and π pulses and investigate their inherent robustness to uncertainty in the magnitude of the drift Hamiltonian. Next, we construct a quantum-control protocol to improve system-drift robustness by combining environment-decoupling pulse criteria and optimal control theory for unitary operations. By perturbatively expanding the unitary time-evolution operator for an open quantum system, previous analysis of environment-decoupling control pulses has calculated explicit control-field criteria to suppress environment-induced errors up to (but not including) third order from π/2 and π pulses. We systematically integrate this criteria with optimal control theory, incorporating an estimate of the uncertain parameter to produce improvements in gate fidelity and robustness, demonstrated via a numerical example based on double quantum dot qubits. For the qubit model used in this work, postfacto analysis of the resulting controls suggests that realistic control-field fluctuations and noise may contribute just as significantly to gate errors as system and environment fluctuations.

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TYPE Journal Article YEAR 2012
OSTIDOI

Copy of Automated Molecular Biology Platform Enabling Rapid & Efficient SGS Analysis of Pathogens in Clinical Samples

Branda, Steven; Jebrail, Mais J.; Van De Vreugde, James L.; Langevin, Stanley A.; Bent, Zachary; Curtis, Deanna J.; Lane, Pamela; Carson, Bryan; La Bauve, Elisa; Patel, Kamlesh; Ricken, Bryce; Schoeniger, Joseph S.; Solberg, Owen D.; Williams, Kelly P.; Misra, Milind; Powell, Amy J.; Pattengale, Nicholas D.; May, Elebeoba; Lane, Todd; Lindner, Duane L.; Young, Malin M.; Vandernoot, Victoria A.; Thaitrong, Numrin; Bartsch, Michael S.; Renzi, Ronald F.; Tran-Gyamfi, Mary; Meagher, Robert M.

Abstract not provided.

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TYPE Presentation YEAR 2012
OSTI

Automated Molecular Biology Platform Enabling Rapid & Efficient SGS Analysis of Pathogens in Clinical Samples

Branda, Steven; Jebrail, Mais J.; Van De Vreugde, James L.; Langevin, Stanley A.; Bent, Zachary; Curtis, Deanna J.; Lane, Pamela; Carson, Bryan; La Bauve, Elisa; Patel, Kamlesh; Ricken, Bryce; Schoeniger, Joseph S.; Solberg, Owen D.; Williams, Kelly P.; Misra, Milind; Powell, Amy J.; Pattengale, Nicholas D.; May, Elebeoba; Lane, Todd; Lindner, Duane L.; Young, Malin M.; Vandernoot, Victoria A.; Thaitrong, Numrin; Bartsch, Michael S.; Renzi, Ronald F.; Tran-Gyamfi, Mary; Meagher, Robert M.

Abstract not provided.

More Details
TYPE Conference YEAR 2012
OSTI
Results 7201–7225 of 9,998
Results 7201–7225 of 9,998