METHODS AND SOLUTIONS FOR GENERALIZING AMPLITUDE AMPLIFICATION IN QUANTUM ALGORITHMS

METHODS AND SOLUTIONS FOR GENERALIZING AMPLITUDE AMPLIFICATION IN QUANTUM ALGORITHMS

Mualliflar

  • Sh.A.Toirov Tashkent Institute of Management and Economics
  • T.E.Xudoyqulov Tashkent Institute of Management and Economics

Kalit so‘zlar:

quantum computing, amplitude gain, Grover's algorithm, optimization, quantum noise, hybrid algorithms

Annotatsiya

Ushbu maqolada kvant algoritmlarida amplituda
kuchaytirishni an’anaviy Grover algoritmi doirasidan tashqarida
umumlashtirishning ilg‘or usullari ko‘rib chiqiladi. Tadqiqot natijalari
umumlashtirilgan amplituda kuchaytirish kengroq kvant qidiruv va
optimallashtirish muammolarida samaradorlikni oshirishini ko‘rsatadi. Kvant
shovqini, masshtablilik va cheklangan kvant resurslari kabi muhim muammolar
innovatsion sxema dizayni hamda moslashuvchan kuchaytirish strategiyalari
orqali hal etiladi. Taklif etilgan yondashuvlar yirik kvant tizimlariga
moslashuvchan va barqaror integratsiyani ta’minlaydi. Ushbu ish murakkab
ilmiy va sanoat muammolariga umumlashtirilgan kvant usullarini qo‘llash uchun
asos yaratadi.

Manbalar

Grover, L. K. (1996). A fast quantum mechanical algorithm for database search. In Proceedings of the 28th Annual ACM Symposium on Theory of Computing (pp. 212–219). ACM.

Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information (10th anniversary ed.). Cambridge: Cambridge University Press.

Brassard, G., Høyer, P., Mosca, M., & Tapp, A. (2002). Quantum amplitude amplification and estimation. In Contemporary Mathematics (Vol. 305, pp. 53–74). American Mathematical Society.

Ulyanov, S., & Polunin, A. S. (2010). Modeling on a classical computer the quantum decision-making algorithm of Daych. System Analysis in Science and Education, (2), 76–89.

Guzik, V. F., Gushansky, S. M., & Potapov, V. S. (2014). Estimation of the complexity of quantum algorithms. In Proceedings of the International Scientific and Practical Conference. Gelendzhik.

Kasarkin, A. V., & Gushansky, S. M. (2011). Cleansing of entanglement. In Informatics, Modeling, Design Automation: Proceedings of the Third All-Russian School-Seminar of Graduate Students, Students and Young Scientists. Ulyanovsk.

Guzik, V., Gushanskiy, S., Polenov, M., & Potapov, V. (2015). Models of a quantum computer, their characteristics and analysis. In 2015 9th International Conference on Application of Information and Communication Technologies (AICT). Rostov-on-Don. IEEE.

Guzik, V. F., Gushansky, S. M., & Polenov, M. Y. (2015). Realization of components for building an open modular model of quantum computing devices. Informatization and Communication, (1), 44–48.

Yuklab olishlar

Nashr etilgan

2026-05-21

Son

Bo‘lim

Articles
Loading...