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Janis Iraids

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers
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2

MFCS Conference 2020 Conference Paper

Quantum Lower and Upper Bounds for 2D-Grid and Dyck Language

  • Andris Ambainis
  • Kaspars Balodis
  • Janis Iraids
  • Kamil Khadiev
  • Vladislavs Klevickis
  • Krisjanis Prusis
  • Yixin Shen 0001
  • Juris Smotrovs

We study the quantum query complexity of two problems. First, we consider the problem of determining if a sequence of parentheses is a properly balanced one (a Dyck word), with a depth of at most k. We call this the Dyck_{k, n} problem. We prove a lower bound of Ω(c^k √n), showing that the complexity of this problem increases exponentially in k. Here n is the length of the word. When k is a constant, this is interesting as a representative example of star-free languages for which a surprising Õ(√n) query quantum algorithm was recently constructed by Aaronson et al. [Scott Aaronson et al. , 2018]. Their proof does not give rise to a general algorithm. When k is not a constant, Dyck_{k, n} is not context-free. We give an algorithm with O(√n(log n)^{0. 5k}) quantum queries for Dyck_{k, n} for all k. This is better than the trival upper bound n for k = o({log(n)}/{log log n}). Second, we consider connectivity problems on grid graphs in 2 dimensions, if some of the edges of the grid may be missing. By embedding the "balanced parentheses" problem into the grid, we show a lower bound of Ω(n^{1. 5-ε}) for the directed 2D grid and Ω(n^{2-ε}) for the undirected 2D grid. The directed problem is interesting as a black-box model for a class of classical dynamic programming strategies including the one that is usually used for the well-known edit distance problem. We also show a generalization of this result to more than 2 dimensions.

SODA Conference 2019 Conference Paper

Quantum Speedups for Exponential-Time Dynamic Programming Algorithms

  • Andris Ambainis
  • Kaspars Balodis
  • Janis Iraids
  • Martins Kokainis
  • Krisjanis Prusis
  • Jevgenijs Vihrovs

In this paper we study quantum algorithms for NP-complete problems whose best classical algorithm is an exponential time application of dynamic programming. We introduce the path in the hypercube problem that models many of these dynamic programming algorithms. In this problem we are asked whether there is a path from 0 n to 1 n in a given subgraph of the Boolean hypercube, where the edges are all directed from smaller to larger Hamming weight. We give a quantum algorithm that solves path in the hypercube in time O *(1. 817 n ). The technique combines Grover's search with computing a partial dynamic programming table. We use this approach to solve a variety of vertex ordering problems on graphs in the same time O *(1. 817 n ), and graph bandwidth in time O *(2. 946 n ). Then we use similar ideas to solve the travelling salesman problem and minimum set cover in time O *(1. 728 n ).