Search results for "Statistical physics"

showing 10 items of 1402 documents

Continuous-Variable Sampling from Photon-Added or Photon-Subtracted Squeezed States

2017

We introduce a new family of quantum circuits in Continuous Variables and we show that, relying on the widely accepted conjecture that the polynomial hierarchy of complexity classes does not collapse, their output probability distribution cannot be efficiently simulated by a classical computer. These circuits are composed of input photon-subtracted (or photon-added) squeezed states, passive linear optics evolution, and eight-port homodyne detection. We address the proof of hardness for the exact probability distribution of these quantum circuits by exploiting mappings onto different architectures of sub-universal quantum computers. We obtain both a worst-case and an average-case hardness re…

Polynomial hierarchyPhysicsQuantum PhysicsPhoton/dk/atira/pure/subjectarea/asjc/3100/3107FOS: Physical sciences0102 computer and information sciences01 natural sciencesAtomic and Molecular Physics and OpticsDistribution (mathematics)Homodyne detection[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]010201 computation theory & mathematics0103 physical sciencesProbability distributionStatistical physics010306 general physicsQuantum Physics (quant-ph)QuantumQuantum computerBoson
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Formulation and test of an ice aggregation scheme for two-moment bulk microphysics schemes

2013

A simple formulation of aggregation for 2-moment bulk microphysical models is de-rived. The solution involves the evaluation of a double integral of the collection kernelweighted with the crystal size (or mass) distribution. This quantity is to be inserted intothe differential equation for the crystal number concentration which has classical form. The double integrals are evaluated numerically for log-normal size distributions overa large range of geometric mean masses. A polynomial fit of the results is given thatyields good accuracy. Various tests of the new parameterization are described: aggre-gation as stand-alone process, in a box-model, and in 2-D simulations of a cirrostratuscloud. …

Polynomial regressionAtmospheric ScienceMicrophysicsDifferential equationChemistryMultiple integralZirrenlcsh:QC1-999WolkenmikrophysikMoment (mathematics)lcsh:ChemistryAggregationDistribution (mathematics)Classical mechanicslcsh:QD1-999Kernel (statistics)ModelleCirrusDynamik der AtmosphäreStatistical physicsEiskristallelcsh:PhysicsAtmospheric Chemistry and Physics
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Continuous-Variable Instantaneous Quantum Computing is Hard to Sample

2017

Instantaneous quantum computing is a sub-universal quantum complexity class, whose circuits have proven to be hard to simulate classically in the Discrete-Variable (DV) realm. We extend this proof to the Continuous-Variable (CV) domain by using squeezed states and homodyne detection, and by exploring the properties of post-selected circuits. In order to treat post-selection in CVs we consider finitely-resolved homodyne detectors, corresponding to a realistic scheme based on discrete probability distributions of the measurement outcomes. The unavoidable errors stemming from the use of finitely squeezed states are suppressed through a qubit-into-oscillator GKP encoding of quantum information,…

PolynomialMathematical optimizationComputer scienceFOS: Physical sciencesGeneral Physics and Astronomy01 natural sciences010305 fluids & plasmas010309 opticsContinuous variableHomodyne detection[PHYS.QPHY]Physics [physics]/Quantum Physics [quant-ph]Quantum mechanics0103 physical sciencesComplexity classQuantum phase estimation algorithmStatistical physicsQuantum information010306 general physicsQuantumQuantum computerPhysicsQuantum PhysicsQuantum PhysicsSample (graphics)PostselectionProbability distributionQuantum Physics (quant-ph)Physical Review Letters
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Nonmonotonic Pattern Formation in Three Species Lotka-Volterra System with Colored Noise

2005

A coupled map lattice of generalized Lotka-Volterra equations in the presence of colored multiplicative noise is used to analyze the spatiotemporal evolution of three interacting species: one predator and two preys symmetrically competing each other. The correlation of the species concentration over the grid as a function of time and of the noise intensity is investigated. The presence of noise induces pattern formation, whose dimensions show a nonmonotonic behavior as a function of the noise intensity. The colored noise induces a greater dimension of the patterns with respect to the white noise case and a shift of the maximum of its area towards higher values of the noise intensity.

Population DynamicSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciStatistical Mechanics (cond-mat.stat-mech)General MathematicsLotka–Volterra equationsStatistical MechanicGeneral Physics and AstronomyPattern formationFOS: Physical sciencesStatistical Mechanics; Population Dynamics; Noise induced effects; Lotka-Volterra equationsWhite noiseMultiplicative noiseNoiseColoredColors of noiseControl theoryNoise induced effectQuantitative Biology::Populations and EvolutionLotka-Volterra equationsStatistical physicsCondensed Matter - Statistical MechanicsCoupled map latticeMathematics
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Validity of NMR pore-size analysis of cultutal heritage ancient building materials containing magnetic impurities

2007

NMR relaxation time distributions, obtained with laboratory and portable devices, are utilized to characterize the pore-size distributions of building materials coming from the Roman remains of the Greek-Roman Theatre of Taormina. To validate the interpretation of relaxation data in terms of pore-size distribution, comparison of results from standard and in situ NMR experiments with results of the mercury intrusion porosimetry (MIP) has been made. Although the pore-size distributions can be obtained by NMR in terms of either longitudinal (T-1) or transverse (T-2) relaxation times distributions, the shorter duration of the T-2 measurement makes it, in principle, preferable, although the dete…

Pore sizeNuclear and High Energy PhysicsNMR porosimetryPOROUS-MEDIAMineralogyGRADIENTSNMR building materialsSingle-sided NMRImpurityPORE-SIZE DISTRIBUTIONSStatistical physicsInstrumentationNMR porous mediaRadiationChemistryIN SITU ANALYSISRelaxation (NMR)nmr building materials; nmr cultural heritage; nmr porosimetry; nmr porous media; nmr relaxation; pore-size distribution; single-sided nmr; taormina theatrePOROUS MEDIANMR cultural heritageGeneral ChemistryRESONANCENmr dataFIELDSDIFFUSIONNMRMagnetic fieldPore-size distributionCultural heritageDistribution (mathematics)Taormina TheatreNMR relaxationCULTURAL HERITAGEMercury intrusion porosimetry
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Computation of conical intersections by using perturbation techniques

2005

Multiconfigurational second-order perturbation theory, both in its single-state multiconfigurational second-order perturbation theory (CASPT2) and multistate (MS-CASPT2) formulations, is used to search for minima on the crossing seams between different potential energy hypersurfaces of electronic states in several molecular systems. The performance of the procedures is tested and discussed, focusing on the problem of the nonorthogonality of the single-state perturbative solutions. In different cases the obtained structures and energy differences are compared with available complete active space self-consistent field and multireference configuration interaction solutions. Calculations on dif…

Potential Energy SurfacesConfiguration Interactions ; Perturbation Theory ; Potential Energy Surfaces ; Molecular Electronic States ; SCF Calculations ; Lithium Compounds ; Organic Compounds ; Wave FunctionsOrganic CompoundsChemistryComputationUNESCO::FÍSICAConfiguration InteractionsGeneral Physics and AstronomyMultireference configuration interactionConical surfaceSCF CalculationsPotential energyWave FunctionsMaxima and minima:FÍSICA [UNESCO]Molecular Electronic StatesQuantum mechanicsPerturbation TheoryLithium CompoundsStatistical physicsComplete active spacePerturbation theory (quantum mechanics)Physical and Theoretical ChemistryWave functionThe Journal of Chemical Physics
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Magnetic Stochastic Resonance in systems described by Dynamic Preisach Model

2008

Stochastic resonance (SR) is generally considered as an enhancement of the system response for certain finite values of the noise strength. In particular the signal to noise ratio (SNR) and the signal amplification show a maximum as a function of the noise intensity. This effect has been experimentally observed in many physical systems and also in magnetic systems. However, as far as magnetic systems are concerned, the dynamic features of the systems have been neglected and it has been assumed that the typical relaxation time is negligible. However this is clearly a rough approximation. In order to clarify this relation, in this paper we numerically study magnetic stochastic resonance in se…

Preisach model of hysteresisStochastic modellingStochastic resonancePhysical systemSignalMagnetizationNuclear magnetic resonanceSignal-to-noise ratioStatistical physicsElectrical and Electronic EngineeringNoise strengthPhysicsCondensed matter physicsMathematical analysisResonanceFunction (mathematics)Condensed Matter PhysicsMagnetic hysteresisCircuit resonanceElectric machinesDynamic Preisach modelElectronic Optical and Magnetic MaterialsHysteresisMagnetic resonanceMagnetic deviceHysteresivibrational resonanceSignal amplificationStochastic resonanceINTERMAG 2006 - IEEE International Magnetics Conference
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Charge dynamics in molecular junctions: nonequilibrium Green's function approach made fast

2014

Real-time Green's function simulations of molecular junctions (open quantum systems) are typically performed by solving the Kadanoff-Baym equations (KBE). The KBE, however, impose a serious limitation on the maximum propagation time due to the large memory storage needed. In this work we propose a simplified Green's function approach based on the Generalized Kadanoff-Baym Ansatz (GKBA) to overcome the KBE limitation on time, significantly speed up the calculations, and yet stay close to the KBE results. This is achieved through a twofold advance: first we show how to make the GKBA work in open systems and then construct a suitable quasi-particle propagator that includes correlation effects …

Propagation timeWork (thermodynamics)SpeedupCondensed Matter - Mesoscale and Nanoscale Physicsta114Computer sciencePropagatorFOS: Physical sciencesNanotechnologyFunction (mathematics)Condensed Matter PhysicsElectronic Optical and Magnetic MaterialsSettore FIS/03 - Fisica della Materiasymbols.namesakeGreen's functionMesoscale and Nanoscale Physics (cond-mat.mes-hall)symbolsStatistical physicsQuantumAnsatz
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An analytical model of heat transfer and fluid dynamic performances of an unconventional NTR engine for manned interplanetary missions

2009

Abstract An analytical model of fluid flow and heat transfer of a Nuclear Thermal Rocket (NTR) engine concept is presented. The engine is based on the direct conversion of the kinetic energy of the fission fragments (FFs) into the propellant enthalpy. The FFs can escape from an extremely thin layer of fissionable material: a sufficiently large surface coated with few micrometers of Americium 242m, confined by a neutron moderator–reflector, may become a critical reactor. Three dimensional coupled CFD-Monte Carlo simulations have already been presented in Di Piazza and Mulas (2006) . In this paper, an analytical integral 1-D model of fluid dynamics and heat transfer is built in order to fores…

PropellantPhysicsNuclear and High Energy PhysicsThermal efficiencyNuclear thermal rocketMechanical EngineeringPéclet numberMechanicssymbols.namesakenon conventional nuclear systemNuclear Energy and Engineeringheat transferHeat transfersymbolsFluid dynamicsGeneral Materials ScienceNeutronSpecific impulseStatistical physicsSafety Risk Reliability and QualityWaste Management and DisposalSettore ING-IND/19 - Impianti NucleariNuclear Engineering and Design
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Efficient computation of root mean square deviations under rigid transformations

2013

The computation of root mean square deviations (RMSD) is an important step in many bioinformatics applications. If approached naively, each RMSD computation takes time linear in the number of atoms. In addition, a careful implementation is required to achieve numerical stability, which further increases runtimes. In practice, the structural variations under consideration are often induced by rigid transformations of the protein, or are at least dominated by a rigid component. In this work, we show how RMSD values resulting from rigid transformations can be computed in constant time from the protein's covariance matrix, which can be precomputed in linear time. As a typical application scenar…

Protein ConformationCovariance matrixComputationComputational BiologyProteinsGeometryGeneral ChemistryRoot mean squareComputational MathematicsComputer SimulationStatistical physicsCluster analysisConstant (mathematics)Time complexityRigid transformationMathematicsNumerical stabilityJournal of Computational Chemistry
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