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Integrated photonics for trapped ion quantum information experiments at Sandia National Laboratories.
Abstract not provided.
Niobium quarter-wave resonator with the optimized shape for quantum information systems
Not Available
Quantum Information Technologies: a New Frontier for Visualization .
Abstract not provided.
M+ (M=Ca,Yb) Cations Bound to Molecular Cavities: A New Strategy for Incorporating Molecular Quantum States into Quantum Information.
Abstract not provided.
Integrated photonics for trapped ion quantum information experiments at Sandia National Laboratories.
Abstract not provided.
Cryogenics for Superconducting Quantum Information Science
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Optical Generation and Manipulation of Spin Qubits for Molecular Quantum Information Science (DE-SC0020199 Final Report)
Final Report containing published results and major accomplishments. Major accomplishments during this grant include elucidating the complex mechanisms of photoinduced ground-state electron spin polarization (PIESP) for these complexes. Several detailed studies relating molecular structure and PIESP are detailed. In addition, we have demonstrated polarization of two coupled ground-state spins with a single photon.
Integrated photonics for trapped ion quantum information
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Classical Machine Learning for Quantum Information Systems
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Unlocking the Quantum World: Research and Innovation in Quantum Information Science at LLNL
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REACTER 2.0: Quantum-Informed Reaction Constraints and Automated Interaction Typing
REACTER is a heuristic method for modeling chemical reactions in classical molecular dynamics simulations, implemented in LAMMPS as fix bond/react. The authors recently extended LAMMPS to support alphanumeric labels for atom types, bond types etc., which enables the pre- and post-reaction templates required by the REACTER protocol to be portable between different simulations and greatly simplifies the task of creating simulation-ready reaction templates. To further increase the generality of reaction templates, support for wildcard characters within atom types has been added, along with the automatic assignment of interaction types for new bonds, angles, etc. based on the involved atom types. In some cases, this feature can express a class of reactions with one pair of reaction templates, where previously dozens may have been required. Advanced reaction constraints have also been added, including an Arrhenius constraint to enforce an effective activation energy, a root-mean-square-deviation option for complex geometrical constraints, as well as a custom constraint that leverages LAMMPS’ powerful built-in variable framework. Other new features include variable support for various inputs (e.g., to allow reaction rates or cutoffs to be dependent on overall conversion), on-the-fly update of molecule IDs, and the ability to create new atoms positioned with respect to the reaction site. The new features are applied to modeling polymeric, thermosetting and composite materials, and advanced applications of the new reaction constraints are demonstrated. For example, REACTER is shown to accurately reproduce mechanically-induced bond breaking, as characterized by third-order DFT-based tight-binding (DFTB3) simulations, via a constraint on the total potential energy of the involved atoms.
Ion Coulomb Crystals in Storage Rings for Quantum Information Science
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Computational studies of quantum information in semiconductor devices.
Abstract not provided.
Quantum Information Science for Energy Sector Applications
TechConnect World Innovation Conference & Expo, Washington, DC, June 13-16, 2022