1,917 research outputs found

    Method of convex rigid frames and applications in studies of multipartite quNit pure-states

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    In this Letter we suggest a method of convex rigid frames in the studies of the multipartite quNit pure-states. We illustrate what are the convex rigid frames and what is the method of convex rigid frames. As the applications we use this method to solve some basic problems and give some new results (three theorems): The problem of the partial separability of the multipartite quNit pure-states and its geometric explanation; The problem of the classification of the multipartite quNit pure-states, and give a perfect explanation of the local unitary transformations; Thirdly, we discuss the invariants of classes and give a possible physical explanation.Comment: 6 pages, no figur

    Characterization of a mutant strain of \u3ci\u3eSaccharomyces cerevisiae\u3c/i\u3e with a deletion of the RAD27 gene, a structural homolog of the RAD2 nucleotide excision repair gene

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    We have constructed a strain of Saccharomyces cerevisiae with a deletion of the YKL510 open reading frame, which was initially identified in chromosome XI as a homolog of the RAD2 nucleotide excision repair gene (A. Jacquier, P. Legrain, and B. Dujon, Yeast 8:121–132, 1992). The mutant strain exhibits increased sensitivity to UV light and to the alkylating agent methylmethane sulfonate but not to ionizing radiation. We have renamed the YKL510 open reading frame the RAD27 gene, in keeping with the accepted nomenclature for radiationsensitive yeast mutants. Epistasis analysis indicates that the gene is in the RAD6 group of genes, which are involved in DNA damage tolerance. The mutant strain also exhibits increased plasmid loss, increased spontaneous mutagenesis, and a temperature-sensitive lethality whose phenotype suggests a defect in DNA replication. Levels of the RAD27 gene transcript are cell cycle regulated in a manner similar to those for several other genes whose products are known to be involved in DNA replication. We discuss the possible role of Rad27 protein in DNA repair and replication

    Nonadditive measure and quantum entanglement in a class of mixed states of N^n-system

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    Through the generalization of Khinchin's classical axiomatic foundation, a basis is developed for nonadditive information theory. The classical nonadditive conditional entropy indexed by the positive parameter q is introduced and then translated into quantum information. This quantity is nonnegative for classically correlated states but can take negative values for entangled mixed states. This property is used to study quantum entanglement in the parametrized Werner-Popescu-like state of an N^n-system, that is, an n-partite N-level system. It is shown how the strongest limitation on validity of local realism (i.e., separability of the state) can be obtained in a novel manner

    Study of the effects of high intensity sound on turbulent incompressible flow

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    The effects of propagating a sonic disturbance without reflection in a direction parallel but contrary to flow, over the entire flow, were experimentally studied in a 10-cm by 10-cm square duct with a fluid velocity of 6.8 meters per second, or pipe Reynolds number of 4.7 X 10(4). The effect was investigated over a range of sound frequencies of 300 to 1800 cps and sound pressure levels of 85 to 140 db re 0.0002 microbars. Sonic excitation reduced the low frequency components (below 300 cps) of the incoming turbulence. The turbulence reduction was greatest for a sound of frequency 700 cps and increased with increasing SPL. This reduction of incoming turbulence appears to retard transition to turbulence by reducing the amount of turbulence in air entering the duct thereby altering the turbulence profile without apparently changing the velocity profile.http://www.archive.org/details/studyofeffectsof00carlLieutenant, United States NavyApproved for public release; distribution is unlimited

    Probabilistic Quantum Memories

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    Typical address-oriented computer memories cannot recognize incomplete or noisy information. Associative (content-addressable) memories solve this problem but suffer from severe capacity shortages. I propose a model of a quantum memory that solves both problems. The storage capacity is exponential in the number of qbits and thus optimal. The retrieval mechanism for incomplete or noisy inputs is probabilistic, with postselection of the measurement result. The output is determined by a probability distribution on the memory which is peaked around the stored patterns closest in Hamming distance to the input.Comment: Revised version to appear in Phys. Rev. Let

    Robust control of decoherence in realistic one-qubit quantum gates

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    We present an open loop (bang-bang) scheme to control decoherence in a generic one-qubit quantum gate and implement it in a realistic simulation. The system is consistently described within the spin-boson model, with interactions accounting for both adiabatic and thermal decoherence. The external control is included from the beginning in the Hamiltonian as an independent interaction term. After tracing out the environment modes, reduced equations are obtained for the two-level system in which the effects of both decoherence and external control appear explicitly. The controls are determined exactly from the condition to eliminate decoherence, i.e. to restore unitarity. Numerical simulations show excellent performance and robustness of the proposed control scheme.Comment: 21 pages, 8 figures, VIth International Conference on Quantum Communication, Measurement and Computing (Boston, 2002

    The Role of Stress in the Pathogenesis and Maintenance of Obsessive-Compulsive Disorder

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    Individuals with obsessive-compulsive disorder often identify psychosocial stress as a factor that exacerbates their symptoms, and many trace the onset of symptoms to a stressful period of life or a discrete traumatic incident. However, the pathophysiological relationship between stress and obsessive-compulsive disorder remains poorly characterized: it is unclear whether trauma or stress is an independent cause of obsessive-compulsive disorder symptoms, a triggering factor that interacts with a preexisting diathesis, or simply a nonspecific factor that can exacerbate obsessive-compulsive disorder along with other aspects of psychiatric symptomatology. Nonetheless, preclinical research has demonstrated that stress has conspicuous effects on corticostriatal and limbic circuitry. Specifically, stress can lead to neuronal atrophy in frontal cortices (particularly the medial prefrontal cortex), the dorsomedial striatum (caudate), and the hippocampus. Stress can also result in neuronal hypertrophy in the dorsolateral striatum (putamen) and amygdala. These neurobiological effects mirror reported neural abnormalities in obsessive-compulsive disorder and may contribute to an imbalance between goal-directed and habitual behavior, an imbalance that is implicated in the pathogenesis and expression of obsessive-compulsive disorder symptomatology. The modulation of corticostriatal and limbic circuits by stress and the resultant imbalance between habit and goal-directed learning and behavior offers a framework for investigating how stress may exacerbate or trigger obsessive-compulsive disorder symptomatology

    Separability and Fourier representations of density matrices

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    Using the finite Fourier transform, we introduce a generalization of Pauli-spin matrices for dd-dimensional spaces, and the resulting set of unitary matrices S(d)S(d) is a basis for d×dd\times d matrices. If N=d1×d2×...×dbN=d_{1}\times d_{2}\times...\times d_{b} and H^{[ N]}=\bigotimes H^{% [ d_{k}]}, we give a sufficient condition for separability of a density matrix ρ\rho relative to the H[dk]H^{[ d_{k}]} in terms of the L1L_{1} norm of the spin coefficients of ρ>.\rho >. Since the spin representation depends on the form of the tensor product, the theory applies to both full and partial separability on a given space H[N]H^{[ N]}% . It follows from this result that for a prescribed form of separability, there is always a neighborhood of the normalized identity in which every density matrix is separable. We also show that for every prime pp and n>1n>1 the generalized Werner density matrix W[pn](s)W^{[ p^{n}]}(s) is fully separable if and only if s(1+pn1)1s\leq (1+p^{n-1}) ^{-1}

    Frontier between separability and quantum entanglement in a many spin system

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    We discuss the critical point xcx_c separating the quantum entangled and separable states in two series of N spins S in the simple mixed state characterized by the matrix operator ρ=xϕ~><ϕ~+1xDNIDN\rho=x|\tilde{\phi}><\tilde{\phi}| + \frac{1-x}{D^N} I_{D^N} where x[0,1]x \in [0,1], D=2S+1D =2S+1, IDN{\bf I}_{D^N} is the DN×DND^N \times D^N unity matrix and ϕ~>|\tilde {\phi}> is a special entangled state. The cases x=0 and x=1 correspond respectively to fully random spins and to a fully entangled state. In the first of these series we consider special states ϕ~>|\tilde{\phi}> invariant under charge conjugation, that generalizes the N=2 spin S=1/2 Einstein-Podolsky-Rosen state, and in the second one we consider generalizations of the Weber density matrices. The evaluation of the critical point xcx_c was done through bounds coming from the partial transposition method of Peres and the conditional nonextensive entropy criterion. Our results suggest the conjecture that whenever the bounds coming from both methods coincide the result of xcx_c is the exact one. The results we present are relevant for the discussion of quantum computing, teleportation and cryptography.Comment: 4 pages in RevTeX forma

    Constant-time solution to the Global Optimization Problem using Bruschweiler's ensemble search algorithm

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    A constant-time solution of the continuous Global Optimization Problem (GOP) is obtained by using an ensemble algorithm. We show that under certain assumptions, the solution can be guaranteed by mapping the GOP onto a discrete unsorted search problem, whereupon Bruschweiler's ensemble search algorithm is applied. For adequate sensitivities of the measurement technique, the query complexity of the ensemble search algorithm depends linearly on the size of the function's domain. Advantages and limitations of an eventual NMR implementation are discussed.Comment: 14 pages, 0 figure
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