SYNERGY OF ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING
Ключевые слова:
quantum artificial intelligence, quantum algorithms, Grover, quantum machine learning, hybrid computing, optimization, quantum image processing, quantum simulations, NISQ, intelligent systemsАннотация
The article examines theoretical and applied aspects of integrating artificial intelligence with quantum computing technologies, forming a new direction – quantum artificial intelligence. It is shown that quantum algorithms have the potential for exponential acceleration of computations in optimization problems, data analysis, machine learning, and image processing. Special attention is given to hybrid quantum-classical approaches demonstrating effectiveness in specific scientific and engineering problems such as catalyst selection and image clustering. Examples of quantum modeling of combinatorial problems and their transformation into quadratic binary programming formalism are presented. It is emphasized that quantum artificial intelligence is not a theoretical abstraction but a practically implementable technology with high potential in the era of NISQ computers
