Quantum software engineering. Pt II: quantum computing supremacy on quantum gate-based algorithm models
Автор: Ulyanov Sergey V., Tyatyushkina Olga Yu., Korenkov Vladimir V.
Журнал: Сетевое научное издание «Системный анализ в науке и образовании» @journal-sanse
Статья в выпуске: 1, 2021 года.
Бесплатный доступ
This article discusses the issues related to the description of an open software product for quantum computing, the stages of forming hardware and software along with algorithmic support for quantum tools from hardware interfaces through the methods of quantum compilers of quantum algorithms, including quantum annealing, and calculations on quantum gate-based algorithm models.
Quantum computing, quantum algorithm, quantum software engineering, quantum computing devices
Короткий адрес: https://sciup.org/14123332
IDR: 14123332
Список литературы Quantum software engineering. Pt II: quantum computing supremacy on quantum gate-based algorithm models
- Arute F., Arya K., Babbush R., Bacon D., Bardin J.C., Barends R., et al.: Quantum supremacy using a programmable superconducting processor. // Nature. 2019. Vol. 574. N. 7779. P. 505–510.
- Benedetti M., Garcia-Pintos D., Perdo M. A. Generative modeling approach for benchmarking and training shallow quantum circuits // npj Quantum Information. 2019. Vol. 5. N. 1. P. 45.
- LaRose R.: Overview and Comparison of Gate Level Quantum Software Platforms // Quantum. 2019. Vol. 3. P. 130.
- National Academies of Sciences, Engineering, and Medicine: Quantum Computing: Progress and Pro-spects. The National Academies Press, Washington, DC. 2019.
- Krantz P., et al. A quantum engineer’s guide to superconducting qubits // arXiv:1904.06560v3 [quant-ph] 9 Aug 2019. [Appl. Phys. Rev. 2019. Vol. 6. Pp. 021318 (2019); doi : 10.1063/1.5089550].
- Huang H-L. Superconducting quantum computing: A review // arXiv:2006.10433v1 [quant-ph] 18 Jun 2020.
- Henriet L., et al. Quantum computing with neutral atoms // arXiv:2006.12326v1 [quant-ph] 22 Jun 2020.
- Gilliam A., et al. Foundational patterns for efficient quantum computing // arXiv: 1907.11513. 2019.
- Bishnoi B. Quantum-computation and applications // arXiv:2006.02799v1 [quant-ph] 4 Jun 2020.
- Leymann F. et al. The bitter truth about quantum algorithms in the NISQ era // arXiv:2006.02856. 2020.
- Khammassi N., et al. OpenQL : A portable quantum programming framework for quantum accelerators // arXiv:2005.13283v1 [quant-ph] 27 May 2020.
- Chatterjee A., et al. Semiconductor Qubits in Practice // arXiv:2005.06564v1 [cond-mat.mes-hall] 13 May 2020.
- Lloyd S., Englund D. Future Directions of Quantum Information // Processing A Workshop on the Emerging Science and Technology of Quantum Computation, Communication, and Measurement. VT-ARC.org. 2019.
- Alexeev Yu., et all. Quantum computer systems for scientific discovery // arXiv:1912.07577v2 [quant-ph] 5 Feb 2020.
- Almudever C. et all. Realizing quantum algorithms on real quantum computing devices // arXiv: 2007.01000 [quant-ph] 7 July 2020.
- De Raedt H., et al. Massively parallel quantum computer simulator, eleven years later // Computer Physics Communications. 2019. Vol. 237. P. 47–61. https://doi.org/10.1016/j.cpc.2018.11.005.
- Gross R. Superconducting quantum circuits. DPG-Frühjahrstagung Sektion Kondensierte Materie Berlin, 11.03. 16.03.2018. http://www.wmi.badw.de.
- Johansson N., Larsson J-A. Quantum simulation logic, oracles, and the quantum advantage // Entropy. 2019. Vol. 21. P. 803–876.
- Wu R., et al. End-to-end quantum machine learning with quantum control systems // arXiv:2003.13658v1 [quant-ph] 30 Mar 2020.
- Briansk M. et al. Introducing Structure to Expedite Quantum Search //arXiv: 2006.05828v1 [quant-ph] 2020.
- Zhang W., et al. Implementing Quantum Search Algorithm with Metamaterials // arXiv: 1712.09071 [quant-ph]. 2017.
- Humble T., et al. Quantum Computing Circuits and Devices // arXiv:1804.10648v1 [quant-ph] 27 Apr 2018.
- Dür W., Heusler S. What we can learn about quantum physics from a single qubit // arXiv:1312.1463v1 [physics.ed-ph] 5 Dec 2013.
- Leymann F., et all. Towards a Platform for Sharing Quantum Software. Institute of Architecture of Application Systems University of Stuttgart, Germany. 2020.
- Zhao J. Quantum Software Engineering: Landscapes and Horizons // arXiv:2007.07047v1 [cs.SE] 14 Jul 2020.
- Fingerhuth M., et al. Open source software in quantum computing // PLoS ONE. 2018. Vol. 13. N. 12. https://doi.org/ 10.1371/journal.pone.0208561.
Статья научная
