Эффективное моделирование квантовых алгоритмов на симуляторах классической архитектуры

Основное содержимое статьи

П. В. Зрелов
О. В. Иванцова
В. В. Кореньков
Н. В. Рябов
С. В. Ульянов

Аннотация

В представленной статье описывается методология применения симуляторов квантовых алгоритмов и реализация тестового и поискового квантовых алгоритмов на симуляторах с использованием классической архитектуры.

Скачивания

Данные скачивания пока недоступны.

Информация о статье

Как цитировать
[1]
Зрелов , П.В., Иванцова , О.В., Кореньков , В.В., Рябов , Н.В. и Ульянов , С.В. 2022. Эффективное моделирование квантовых алгоритмов на симуляторах классической архитектуры. Системный анализ в науке и образовании. 1 (июл. 2022), 42–54.
Раздел
Статьи

Библиографические ссылки

Quantum Simulators: Architectures and Opportunities/ E. Altman [et al.] // PRX Quantum. 2021. vol.

No. 1. DOI: 10.1103/prxquantum.2.017003.

Google Research. Google Quantum Computing. URL: https://resarch.google/teams/applied-science/.

IBM Research. IBM Quantum Computing. URL: https://www.ibm.com/quantum-computing/.

Quantum Computing // Riggeti Computing. Rigetti & Co, Inc., 2020–2022. URL: https://www.rigetti.com/

Intel Quantum Computing // Intel Corporation. URL: https://www.intel.com/content/www/us/en/research/quantum-computing.html

D-Wave Quantum Computing // D-Wave Systems. D-Wave Systems Inc., 2022. URL: https://www.dwavesys.com/

Lisf of QC simulators // Quantiki : Quantum Information Portal and Wiki. URL : https://quantiki.org/wiki/list-qc-simulators/

QuEST and High Performance Simulation of Quantum Computers / T. Jones, A. Brown, I. Bush, S.

C. Benjamin . Scientific Reports. 2019. № 9. Article number: 10736. DOI: https://doi.org/10.1038/s41598-019-47174-9

Open-Source Quantum Development // Qiskit. URL: https://qiskit.org/

Суперкомпьютер «Говорун» // Платформа "Hybrilit". HybriLIT, 2022. URL: http://hlit.jinr.ru/supercomputer_govorun/

Quantum Computer Systems for Scientific Discovery / Y. Alexeev [et al.] // PRX Quantum. 2021. vol. 2. Article number: 017001. DOI: https://doi.org/10.1103/PRXQuantum.2.017001

Carrazza S., Cruz-Martinez J. VegasFlow: Accelerating Monte Carlo simulation across multiple hardware platforms // Computer Physics Communications. 2020. Vol. 254. P. 107376. DOI: 10.1016/j.cpc.2020.107376.

LaRose R. Distributed Memory Techniques for Classical Simulation of Quantum Circuits. 2018. arXiv: https://arxiv.org/abs/1801.01037.

Smelyanskiy M., Sawaya N. P. D., Aspuru-Guzik A. qHiPSTER: The Quantum High Performance Software Testing Environment. 2016. arXiv:1601.07195 [quant-ph].

cuQuantum. Accelerate Quantum Information Science // NVIDIA.Developer. NVIDIA Corporation, 2022. URL : https://developer.nvidia.com/cuquantum-sdk

cuQuantum SDK: A High-Performance Library for Accelerating Quantum Information Science / NVIDIA.Developer. NVIDIA Corporation, 2022. URL: https://docs.nvidia.com/cuda/cuquantum/index.html

Quantum Computing and Simulations for Energy Applications: Review and Perspective / Hari P. Paudel [et al.] // ACS Engineering. 2020. № 2(3). Pp. 151-196. DOI: https://doi.org/10.1021/acsengineeringau.1c00033

Georgescu I. M., Ashhab S., Nori F. Quantum simulation. Rev. Mod. Phys. 2014 .Vol. 86, Iss. 1 Pp. 153–85. DOI : https://doi.org/10.1103/RevModPhys.86.153 .

What is Quantum Computing? Top 18 Quantum Computing Companies // PAT RESEARCH : [вебсайт]. PAT RESEARCH, 2013-2021. URL: https://www.predictiveanalyticstoday.com/what-isquantum-computing/

Preskill J. Quantum Computing in the NISQ era and beyond // Quantum.2018. vol. 2. p. 79. DOI:

22331/q-2018-08-06-79.

Gyongyosi L., Imre S. Circuit Depth Reduction for Gate-Model Quantum Computers // Scientific Reports. 2020. Article number: 11229 (2020). DOI: https://doi.org/10.1038/s41598-020-67014-5

Jordan S. Quantum Algorithm Zoo : [веб-сайт]. URL: https://quantumalgorithmzoo.org/

Crooks G. E. Gates, States, and Circuits. Notes on the circuit model of quantum computation. Berkeley Institute for Theoretical Sciences, 2022. URL: https://threeplusone.com/pubs/on_gates.pdf

Shor P. Algorithms for Quantum Computation: Discrete Logarithms and Factoring // Foundations of Computer Science, 1994 Proceedings., 35th Annual Symposium on – IEEE, 1994. P. 124–134.

Grover L. K. A fast quantum mechanical algorithm for database search // Proceedings, 28th Annual ACM Symposium on the Theory of Computing, 1996.

Giri P. R., Korepin , V. E. A review on quantum search algorithms // Quantum Information Processing. 2017. Vol. 16. № 12. Pp. 1-36. DOI: https://doi.org/10.1007/s11128-017-1768-7

Генетические и квантовые алгоритмы. Ч. 1. Инновационные модели в обучении / С. В. Ульянов [и др.]// Системный анализ в науке и образовании: сетевое научное издание. 2010. № 3. C. 226– 253.

A Modified Quantum Search Algorithm / H. Mehri-Dehnavi [et al.] // International Journal of Theoretical Physics. 2018. Vol. 57. Pp. 3668–3681.DOI: https://doi.org/10.1007/s10773-018-3880-6

Ulyanov S. V., Litvintseva L. V., Ulyanov S. S. Quantum information and quantum computational intelligence: Design & classical simulation of quantum algorithm gates. Universita degli Studi di Milano: Polo Didattico e di Ricerca di Crema Publ. 2005. Vol. 80.

Quantum information and quantum computational intelligence: Classically efficient simulation of fast quantum algorithms (SW / HW Implementations) / S.V.Ulyanov [et al.] // [M] Note del Polo, Milan Univ, 2005, 79.

Tang X., Xu J., Duan B. A memory-efficient simulation method of grover's search algorithm // Computers, Materials & Continua. 2018. vol. 57, no.2. pp. 307–319. DOI: doi:10.32604/cmc.2018.03693

Quantum Software Engineering Toolkit. Quantum fast search algorithms. Quantum simulators on classical computers. Quantum control information models. Part I / O. V. Ivancova, V. V. Korenkov, S. V. Ulyanov, P. V. Zrelov.— М.: KURS, 2022. — 463 p.

Zalka, C.: Grover’s Quantum Searching Algorithm Is Optimal. Phys. Rev. A 60(4), 2746 (1999).

Jones J.A ., Mosca M., Hansen R. H. Implementation of a quantum search algorithm on a quantum computer. Nature 393, 344 (1998).

Implementation of grover’s quantum search algorithm in a scalable system / K.A. Brickman [et al.] // Phys. Rev. 2005. A 72, 050306.

Quantum amplitude amplification and estimation/ G. Brassard, M. Boyer, P. Hoyer, A. Tapp // Contemp. Math. 2002. Vol. 305. Pp. 53.

Wang Y., Krstic P. S. Prospect of using Grover's search in the noisy-intermediate-scale quantumcomputer era // Phys. Rev. A 102, 042609. Published 20 October 2020

Fingerhuth M., Babej T., Wittek P. Open source software in quantum computing. URL: https://arxiv.org/pdf/1812.09167.pdf

Lloyd S. Universal Quantum Simulators // Science. 1996. vol. 273, no. 5278, pp. 1073–1078. DOI:

1126/science.273.5278.1073.

Vidal G. Efficient Classical Simulation of Slightly Entangled Quantum Computations // Physical Review Letters. 2003. vol. 91, no. 14. DOI: 10.1103/physrevlett.91.147902.

QuEST and High Performance Simulation of Quantum Computers / T. Jones, A. Brown, I. Bush, S. C. Benjamin // Scientific Reports. 2019. vol. 9, no. 1. DOI: 10.1038/s41598-019-47174-9.

Running with Threadpool and DASK // Qiskit. URL : https://qiskit.org/documentation/apidoc/parallel.html

Schollwöck U. The density-matrix renormalization group in the age of matrix product states // Annals of Physics. 2011. Vol. 326, No. 1, Pp. 96–192. DOI: 10.1016/j.aop.2010.09.012.

qsim / Quantum AI team and collaborators // Zenodo, Sep. 2020. DOI: 10.5281/zenodo.4023103.

Quantum Supremacy Is Both Closer and Farther than It Appears / I. L. Markov, A. Fatima, S. V. Isakov, S. Boixo. 2018.

NVIDIA DGX-1// NVIDIA. NVIDIA Corporation, 2022. URL: https://www.nvidia.com/en-us/datacenter/dgx-1/

Quantum Supremacy using a Programmable Superconducting Processor / F. Arute [et al.] // Nature. 2019. Vol. 574. Рp. 505–510. DOI: https://doi.org/10.1038/s41586-019-1666-5

NICA : Nuclotron-based Ion Collider fAcility / Объединенный институт ядерных исследований, 2016 - 2022 . URL: https://nica.jinr.ru/ru/

Наиболее читаемые статьи этого автора (авторов)

<< < 6 7 8 9 10 11 12 13 > >>