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Quantum Computation and Decision Trees

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arxiv quant-ph/9706062 v2 pith:4V2N5U7P submitted 1997-06-27 quant-ph

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keywords algorithmclassicalquantumtimepolynomialroottreetrees
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Many interesting computational problems can be reformulated in terms of decision trees. A natural classical algorithm is to then run a random walk on the tree, starting at the root, to see if the tree contains a node n levels from the root. We devise a quantum mechanical algorithm that evolves a state, initially localized at the root, through the tree. We prove that if the classical strategy succeeds in reaching level n in time polynomial in n, then so does the quantum algorithm. Moreover, we find examples of trees for which the classical algorithm requires time exponential in n, but for which the quantum algorithm succeeds in polynomial time. The examples we have so far, however, could also be solved in polynomial time by different classical algorithms.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Quantum algorithm for estimating volumes of convex bodies

    quant-ph 2019-08 accept novelty 8.0 of 10

    A quantum algorithm estimates the volume of an n-dimensional convex body within error epsilon using O-tilde(n^3 + n^2.5/epsilon) membership queries, the first quantum speedup for this task.

  2. Emergence of Krylov complexity through quantum walks: An exploration of the quantum origins of complexity

    hep-th 2026-02 conditional novelty 5.0 of 10

    Reducing a graph walk to distance-layers reproduces Krylov/spread complexity, yielding analytic finite-q SYK Lanczos coefficients and hypercube complexity D sin²(t/D), with faster saturation than classical-walk circuits.

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