2020
DOI: 10.1007/s11128-020-02650-4
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Discrete-time quantum walk algorithm for ranking nodes on a network

Abstract: We present a quantum algorithm for ranking the nodes on a network in their order of importance. The algorithm is based on a directed discrete-time quantum walk, and works on all directed networks. This algorithm can theoretically be applied to the entire internet, and thus can function as a quantum PageRank algorithm. Our analysis shows that the hierarchy of quantum rank matches well with the hierarchy of classical rank for directed tree network and for non-trivial cyclic networks, the hierarchy of quantum ran… Show more

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Cited by 26 publications
(17 citation statements)
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“…( 7) the shift operation effects the traversal of the components of the probability amplitude in different directions. In order to obtain the order of reactivity of sites, the algorithm in [28] requires a variant of DTQW known as a directed DTQW (D-DTQW) [65]. In case of the D-DTQW, the shift operator only allows a single component of the probability amplitude to traverse the graph.…”
Section: B Discrete-time Quantum Walkmentioning
confidence: 99%
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“…( 7) the shift operation effects the traversal of the components of the probability amplitude in different directions. In order to obtain the order of reactivity of sites, the algorithm in [28] requires a variant of DTQW known as a directed DTQW (D-DTQW) [65]. In case of the D-DTQW, the shift operator only allows a single component of the probability amplitude to traverse the graph.…”
Section: B Discrete-time Quantum Walkmentioning
confidence: 99%
“…( 7), however in case of the procedure to arrange the nodes in order of reactivities, we use a specialized coin operation of the form defined in Ref. [28],…”
Section: B Discrete-time Quantum Walkmentioning
confidence: 99%
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“…They serve as a single particle version of a quantum cellular automaton [37,38]. DTQW became a useful tool to study various systems and phenomena such as relativistic particles, artificial gauge fields [39,40], various topological phases [41][42][43], percolation problems [44,45], localization phenonema [46], and implementation of quantum information tasks [47][48][49], among others. DTQW were implemented experimentally using NMR devices [50], optical devices [51,52], in the IBM quantum computer [53], and in a trapped ion quantum computer [54].…”
mentioning
confidence: 99%
“…uantum walks (QWs) are the quantum analog of classical random walks, in which the walker steps forward or backward along a line based on a coin flip. In a QW, the walker proceeds in a quantum superposition of paths, and the resulting interference forms the basis of a wide variety of quantum algorithms, such as quantum search [1][2][3][4][5] , graph isomorphism problems [6][7][8] , ranking nodes in a network [9][10][11][12] , and quantum simulations, which mimic different quantum systems at the low and high energy scale [13][14][15][16][17][18][19][20][21][22] . In the discrete-time QW (DQW) 23,24 , a quantum coin operation is introduced to prescribe the direction in which the particle moves in position space at each discrete step.…”
mentioning
confidence: 99%