IMPROVING QUANTUM ANNEALING BY ENGINEERING THE COUPLING TO THE ENVIRONMENT

Authors

  • Korotkova Larisa Aleksandrovna
  • Yuldasheva Diyora Ravshanova

Keywords:

Key words: quantum system, optimisation problems, algorithms.

Abstract

Abstract: A   large   class   of   optimisation   problems   can   be   mapped   to   the   Ising   model   where   all   details   are   encoded   in   the   coupling   of   spins.   The   task   of   the   original   mathematical   optimisation   is   then   equivalent   to   finding   the   ground   state   of   the   corresponding   spin   system   which   can   be   achieved   via   quantum   annealing   relying   on   the   adiabatic   theorem.

References

C.-H. Cheng, Y.-F. Huang, H.-C. Chen, T.-Y. Yao, Neural network-based estimation for OFDM channels. https://www.refseek.com/

E. Balevi, J.G. Andrews, Deep learning-based channel estimation for high-dimensional signals (2019). NPR

Published

2023-10-29

How to Cite

Korotkova Larisa Aleksandrovna, & Yuldasheva Diyora Ravshanova. (2023). IMPROVING QUANTUM ANNEALING BY ENGINEERING THE COUPLING TO THE ENVIRONMENT. ОБРАЗОВАНИЕ НАУКА И ИННОВАЦИОННЫЕ ИДЕИ В МИРЕ, 32(2), 67–69. Retrieved from https://newjournal.org/01/article/view/9252