# Noise effects in the quantum search algorithm from the viewpoint of computational complexity

Piotr Gawron; Jerzy Klamka; Ryszard Winiarczyk

International Journal of Applied Mathematics and Computer Science (2012)

- Volume: 22, Issue: 2, page 493-499
- ISSN: 1641-876X

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topPiotr Gawron, Jerzy Klamka, and Ryszard Winiarczyk. "Noise effects in the quantum search algorithm from the viewpoint of computational complexity." International Journal of Applied Mathematics and Computer Science 22.2 (2012): 493-499. <http://eudml.org/doc/208124>.

@article{PiotrGawron2012,

abstract = {We analyse the resilience of the quantum search algorithm in the presence of quantum noise modelled as trace preserving completely positive maps. We study the influence of noise on the computational complexity of the quantum search algorithm. We show that it is only for small amounts of noise that the quantum search algorithm is still more efficient than any classical algorithm.},

author = {Piotr Gawron, Jerzy Klamka, Ryszard Winiarczyk},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {quantum algorithms; quantum noise; algorithm complexity},

language = {eng},

number = {2},

pages = {493-499},

title = {Noise effects in the quantum search algorithm from the viewpoint of computational complexity},

url = {http://eudml.org/doc/208124},

volume = {22},

year = {2012},

}

TY - JOUR

AU - Piotr Gawron

AU - Jerzy Klamka

AU - Ryszard Winiarczyk

TI - Noise effects in the quantum search algorithm from the viewpoint of computational complexity

JO - International Journal of Applied Mathematics and Computer Science

PY - 2012

VL - 22

IS - 2

SP - 493

EP - 499

AB - We analyse the resilience of the quantum search algorithm in the presence of quantum noise modelled as trace preserving completely positive maps. We study the influence of noise on the computational complexity of the quantum search algorithm. We show that it is only for small amounts of noise that the quantum search algorithm is still more efficient than any classical algorithm.

LA - eng

KW - quantum algorithms; quantum noise; algorithm complexity

UR - http://eudml.org/doc/208124

ER -

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