A Hybrid Quantum Neural Network to Analyse Big Experimental Powder X-ray Diffraction Data
A hybrid quantum neural network framework is introduced designed to extract quantitative parameters, such as phase weight fractions and scale factors, directly from one-dimensional powder diffraction patterns without iterative refinement, paving the way for using quantum computing hardware to analyse real-world materia...
H. Dong, S. Jacques, M. Q. Hlatshwayo et al.
· 0 citations