|
|
|
|
|
Georgios M. Nikolopoulos and Marc Fischlin
Quantum key distribution protocols allow two honest distant parties to establish a common truly random secret key in the presence of powerful adversaries, provided that the two users share a short secret key beforehand. This pre-shared secret key is used...
ver más
|
|
|
|
|
|
|
|
|
Yuwen Fu, E. Xia, Duan Huang and Yumei Jing
Machine learning has been applied in continuous-variable quantum key distribution (CVQKD) systems to address the growing threat of quantum hacking attacks. However, the use of machine learning algorithms for detecting these attacks has uncovered a vulner...
ver más
|
|
|
|
|
|
|
|
|
Xiaoyu Liu, Wenqian Peng, Liuyin Xie and Xiang Zhang
In this paper, a novel bat algorithm based on the quantum computing concept and pyramid neural network (PNN) is presented and applied to the electromagnetic motor optimization problem. Due to the problems of high loss, high temperature rise and threateni...
ver más
|
|
|
|
|
|
|
|
|
Vasile-Adrian Surdu and Romuald Gyorgy
X-ray diffraction (XRD) is a proven, powerful technique for determining the phase composition, structure, and microstructural features of crystalline materials. The use of machine learning (ML) techniques applied to crystalline materials research has inc...
ver más
|
|
|
|
|
|
|
|
|
Denis D. Chesalin, Andrei P. Razjivin, Alexey S. Dorokhov and Roman Y. Pishchalnikov
It is known that the protein surrounding, as well as solvent molecules, has a significant influence on optical spectra of organic pigments by modulating the transition energies of their electronic states. These effects manifest themselves by a broadening...
ver más
|
|
|
|