Simulation of the Quantum Fuzzy Inference of the Intelligent Control System for Cooling the Current Leads of the Booster of the NICA Accelerator Complex
摘要
Abstract
A new stage in the application of the previously developed quantum intelligent control technology requires a significant increase in the number of input parameters. The paper shows the fundamental possibility of implementing a thirty-qubit quantum fuzzy inference on a simulator with classical architecture. A quantum scheme is presented and the results of the operation of a quantum intelligent regulator for the robust control the nitrogen flow in the cryogenic system of the booster measuring arm of the NICA accelerator complex are presented.