2,827 research outputs found

    The evolution of the swimming habit in the Lamellibranchia

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    Discrete-query quantum algorithm for NAND trees

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    Recently, Farhi, Goldstone, and Gutmann gave a quantum algorithm for evaluating NAND trees that runs in time O(sqrt(N log N)) in the Hamiltonian query model. In this note, we point out that their algorithm can be converted into an algorithm using O(N^{1/2 + epsilon}) queries in the conventional quantum query model, for any fixed epsilon > 0.Comment: 2 pages. v2: updated name of one autho

    Efficient discrete-time simulations of continuous-time quantum query algorithms

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    The continuous-time query model is a variant of the discrete query model in which queries can be interleaved with known operations (called "driving operations") continuously in time. Interesting algorithms have been discovered in this model, such as an algorithm for evaluating nand trees more efficiently than any classical algorithm. Subsequent work has shown that there also exists an efficient algorithm for nand trees in the discrete query model; however, there is no efficient conversion known for continuous-time query algorithms for arbitrary problems. We show that any quantum algorithm in the continuous-time query model whose total query time is T can be simulated by a quantum algorithm in the discrete query model that makes O[T log(T) / log(log(T))] queries. This is the first upper bound that is independent of the driving operations (i.e., it holds even if the norm of the driving Hamiltonian is very large). A corollary is that any lower bound of T queries for a problem in the discrete-time query model immediately carries over to a lower bound of \Omega[T log(log(T))/log (T)] in the continuous-time query model.Comment: 12 pages, 6 fig

    Discrete-Query Quantum Algorithm for NAND Trees

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    This is a comment on the article “A Quantum Algorithm for the Hamiltonian NAND Tree” by Edward Farhi, Jeffrey Goldstone, and Sam Gutmann, Theory of Computing 4 (2008) 169--190. That paper gave a quantum algorithm for evaluating NAND trees with running time O(√N) in the Hamiltonian query model. In this note, we point out that their algorithm can be converted into an algorithm using N^[1/2 + o(1)] queries in the conventional (discrete) quantum query model

    Solid state differentiation of plasma thiols using a centrifugally activated mercaptobenzothiazole disulfide exchange indicator

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    The solid state interaction of mono and macromolecular thiols at a disulphide heterocycle is shown to provide a versatile pathway for their speciation

    Approximating Fractional Time Quantum Evolution

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    An algorithm is presented for approximating arbitrary powers of a black box unitary operation, Ut\mathcal{U}^t, where tt is a real number, and U\mathcal{U} is a black box implementing an unknown unitary. The complexity of this algorithm is calculated in terms of the number of calls to the black box, the errors in the approximation, and a certain `gap' parameter. For general U\mathcal{U} and large tt, one should apply U\mathcal{U} a total of t\lfloor t \rfloor times followed by our procedure for approximating the fractional power Utt\mathcal{U}^{t-\lfloor t \rfloor}. An example is also given where for large integers tt this method is more efficient than direct application of tt copies of U\mathcal{U}. Further applications and related algorithms are also discussed.Comment: 13 pages, 2 figure
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