7,971 research outputs found

    Entanglement Criteria - Quantum and Topological

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    This paper gives a criterion for detecting the entanglement of a quantum state, and uses it to study the relationship between topological and quantum entanglement. It is fundamental to view topological entanglements such as braids as entanglement operators and to associate to them unitary operators that are capable of creating quantum entanglement. The entanglement criterion is used to explore this connection. The paper discusses non-locality in the light of this criterion.Comment: 8 pages, LaTeX, to appear in proceedings of Spie Conference, Orlando, Fla, April 200

    Quantum Hidden Subgroup Algorithms: The Devil Is in the Details

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    We conjecture that one of the main obstacles to creating new non-abelian quantum hidden subgroup algorithms is the correct choice of a transversal.Comment: 5 pages, to appear in April 2004 Proceedings of SPIE on Quantum Information and Computatio

    A 3-Stranded Quantum Algorithm for the Jones Polynomial

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    Let K be a 3-stranded knot (or link), and let L denote the number of crossings in K. Let ϵ1\epsilon_{1} and ϵ2\epsilon_{2} be two positive real numbers such that ϵ2\epsilon_{2} is less than or equal to 1. In this paper, we create two algorithms for computing the value of the Jones polynomial of K at all points t=exp(iϕ)t=exp(i\phi) of the unit circle in the complex plane such that the absolute value of ϕ\phi is less than or equal to π/3\pi/3. The first algorithm, called the classical 3-stranded braid (3-SB) algorithm, is a classical deterministic algorithm that has time complexity O(L). The second, called the quantum 3-SB algorithm, is a quantum algorithm that computes an estimate of the Jones polynomial of K at exp(iϕ))exp(i\phi)) within a precision of ϵ1\epsilon_{1} with a probability of success bounded below by $1-\epsilon_{2}%. The execution time complexity of this algorithm is O(nL), where n is the ceiling function of (ln(4/\epsilon_{2}))/(2(\epsilon_{2})^2). The compilation time complexity, i.e., an asymptotic measure of the amount of time to assemble the hardware that executes the algorithm, is O(L).Comment: 19 pages, 10 figures, to appear in Proc. SPIE, 6573-29, (2007
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