Search results for " algorithm"

showing 10 items of 2538 documents

Optimal control strategies for coupled quantum dots

2013

AbstractSemiconductor quantum dots are ideal candidates for quantum information applications in solid-state technology. However, advanced theoretical and experimental tools are required to coherently control, for example, the electronic charge in these systems. Here we demonstrate how quantum optimal control theory provides a powerful way to manipulate the electronic structure of coupled quantum dots with an extremely high fidelity. As alternative control fields we apply both laser pulses as well as electric gates, respectively. We focus on double and triple quantum dots containing a single electron or two electrons interacting via Coulomb repulsion. In the two-electron situation we also br…

PhysicsQuantum networkPhysicsQC1-999Quantum sensorquantum dotGeneral Physics and AstronomyQuantum simulator02 engineering and technology021001 nanoscience & nanotechnology01 natural sciencescoherenceQuantum technologyOpen quantum systemQuantum error correctionQuantum mechanics0103 physical sciencesQuantum algorithmQuantum information010306 general physics0210 nano-technologyoptimal control theoryOpen Physics
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Irreconcilable Difference Between Quantum Walks and Adiabatic Quantum Computing

2016

Continuous-time quantum walks and adiabatic quantum evolution are two general techniques for quantum computing, both of which are described by Hamiltonians that govern their evolutions by Schr\"odinger's equation. In the former, the Hamiltonian is fixed, while in the latter, the Hamiltonian varies with time. As a result, their formulations of Grover's algorithm evolve differently through Hilbert space. We show that this difference is fundamental; they cannot be made to evolve along each other's path without introducing structure more powerful than the standard oracle for unstructured search. For an adiabatic quantum evolution to evolve like the quantum walk search algorithm, it must interpo…

PhysicsQuantum networkQuantum PhysicsFOS: Physical sciencesAdiabatic quantum computation01 natural sciences010305 fluids & plasmasOpen quantum systemQuantum mechanicsQuantum process0103 physical sciencesQuantum operationQuantum algorithmQuantum walkStatistical physics010306 general physicsQuantum Physics (quant-ph)Quantum computer
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All-optical storage of a qubit encoded in an oscillator

2017

The efficient and reliable storage of quantum states plays a crucial role for the realization of quantum computation and communication. For example, in linear optics quantum computation as represented by the KLM scheme [1], quantum storage enables one to store intermediate “results” or to boost scalability and reliability of the computation. To employ quantum storage for quantum computation, the storage should be applicable to superposition states, including phase information of the superposition as well as the amplitude information of the state's coefficients. Some schemes exist for such storage using electron or nuclear spins [2]. However, an all-optical storage without the use of atoms o…

PhysicsQuantum networkQuantum channel01 natural sciences010309 opticsQuantum technologyQuantum error correctionQuantum mechanicsQubit0103 physical sciencesQuantum algorithmQuantum information010306 general physicsQuantum computer
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Effects of noise on spin network cloning

2006

We analyze the effects of noise on quantum cloning based on the spin network approach. A noisy environment interacting with the spin network is modeled both in a classical scenario, with a classical fluctuating field, and in a fully quantum scenario, in which the spins are coupled with a bath of harmonic oscillators. We compare the realization of cloning with spin networks and with traditional quantum gates in the presence of noise, and show that spin network cloning is more robust.

PhysicsQuantum networkQuantum informationPhysics and Astronomy (miscellaneous)Quantum cloning; Quantum information; Spin networks; Physics and Astronomy (miscellaneous)Open quantum systemQuantum gateQuantum error correctionQuantum mechanicsCondensed Matter::Strongly Correlated ElectronsQuantum algorithmSpin networkQuantum informationQuantum cloningQuantum cloningSpin networks
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Quantum control theory for decoherence suppression in quantum gates

2007

We show how quantum optimal control theory can help achieve high-fidelity quantum gates in real experimental settings. We discuss several optimization methods (from iterative algorithms to optimization by interference and to impulsive control) and different physical scenarios (from optical lattices to atom chips and to Rydberg atoms).

PhysicsQuantum technologyOpen quantum systemQuantum networkPhysics and Astronomy (miscellaneous)Quantum error correctionQuantum mechanicsQuantum algorithmPhysics::Atomic PhysicsQuantum informationQuantum dissipationQuantum computer
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Hybrid discrete- and continuous-variable quantum information

2015

Research in quantum information processing has followed two different directions: the use of discrete variables (qubits) and that of high-dimensional, continuous-variable Gaussian states (coherent and squeezed states). Recently, these two approaches have been converging in potentially more powerful hybrid protocols. The traditional approaches to quantum information processing using either discrete or continuous variables can be combined in hybrid protocols for tasks including quantum teleportation, computation, entanglement distillation or Bell tests.

PhysicsQuantum technologyOpen quantum systemQuantum networkQuantum error correctionQuantum mechanicsGeneral Physics and AstronomyQuantum algorithmQuantum PhysicsQuantum channelQuantum informationAlgorithmQuantum teleportationNature Physics
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Multi-overlap simulations of free-energy barriers in the 3D Edwards–Anderson Ising spin glass

1999

We report large-scale simulations of the three-dimensional Edwards‐Anderson Ising spin-glass model using the multi-overlap Monte Carlo algorithm. We present our results in the spin-glass phase on free-energy barriers and the non-trivial finite-size scaling behavior of the Parisi order-parameter distribution. © 1999 Elsevier Science B.V. All rights reserved.

PhysicsSpin glassCondensed matter physicsMonte Carlo methodGeneral Physics and AstronomyCondensed Matter::Disordered Systems and Neural NetworksHardware and ArchitecturePhase (matter)Ising spinIsing modelStatistical physicsScalingEnergy (signal processing)Monte Carlo algorithmComputer Physics Communications
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A Cluster Monte Carlo Algorithm for 2-Dimensional Spin Glasses

2001

A new Monte Carlo algorithm for 2-dimensional spin glasses is presented. The use of clusters makes possible global updates and leads to a gain in speed of several orders of magnitude. As an example, we study the 2-dimensional +/-J Edwards-Anderson model. The new algorithm allows us to equilibrate systems of size 100^2 down to temperature T = 0.1. Our main result is that the correlation length diverges as an exponential and not as a power law as T -> Tc = 0.

PhysicsSpin glassOrders of magnitude (time)Cluster (physics)FOS: Physical sciencesDisordered Systems and Neural Networks (cond-mat.dis-nn)Statistical physicsCondensed Matter - Disordered Systems and Neural NetworksCondensed Matter PhysicsPower lawMonte Carlo algorithmElectronic Optical and Magnetic MaterialsExponential function
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Multicanonical Simulations of the Tails of the Order-Parameter Distribution of the Two-Dimensional Ising Model

2005

We report multicanonical Monte Carlo simulations of the tails of the order-parameter distribution of the two-dimensional Ising model for fixed boundary conditions. Clear numerical evidence for "fat" stretched exponential tails is found below the critical temperature, indicating the possible presence of fat tails at the critical temperature.

PhysicsStatistical Mechanics (cond-mat.stat-mech)High Energy Physics::LatticeMonte Carlo methodGeneral Physics and AstronomyOrder (ring theory)Parameter distributionFOS: Physical sciencesExponential functionDistribution (mathematics)Hardware and ArchitectureWang and Landau algorithmIsing modelBoundary value problemStatistical physicsCondensed Matter - Statistical Mechanics
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Computing absolute free energies of disordered structures by molecular simulation

2009

We present a Monte Carlo simulation technique by which the free energy of disordered systems can be computed directly. It is based on thermodynamic integration. The central idea is to construct an analytically solvable reference system from a configuration which is representative for the state of interest. The method can be applied to lattice models (e.g., the Ising model) as well as off-lattice molecular models. We focus mainly on the more challenging off-lattice case. We propose a Monte Carlo algorithm, by which the thermodynamic integration path can be sampled efficiently. At the examples of the hard sphere liquid and a hard disk solid with a defect, we discuss several properties of the …

PhysicsStatistical Mechanics (cond-mat.stat-mech)Monte Carlo method: Physics [G04] [Physical chemical mathematical & earth Sciences]General Physics and AstronomyThermodynamic integrationFOS: Physical sciencesMolecular simulationCondensed Matter - Soft Condensed Matter: Physique [G04] [Physique chimie mathématiques & sciences de la terre]Lattice (order)Soft Condensed Matter (cond-mat.soft)Free energiesIsing modelStatistical physicsPhysical and Theoretical ChemistryCondensed Matter - Statistical MechanicsMonte Carlo algorithm
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