QUANTUM APPROACHES TO THE MODELING AND ANALYSIS OF INNOVATION PROCESSES: PROSPECTS AND CHALLENGES

Authors

DOI:

https://doi.org/10.31891/mdes/2024-11-16

Keywords:

quantum economy, radical innovations, quantum technologies, quantum management models, superposition, entanglement, quantum artificial intelligence, quantum materials, quantum business

Abstract

The article considers the quantum approach in the modeling and analysis of innovative processes; identifying aspects of these processes in modern economic systems. Approaches to the rapid development of quantum technology and innovative processes and the quantum revolution, which is becoming a key factor in the global economic change of the XXI century, are reflected. Literature sources were analyzed and own ideas about radical innovative innovations, quantum technology, quantum computing, implementation of the quantum approach in the economic system were formulated. The positive aspects of the quantum economy, the market of quantum technology and quantum computing in the modern economic context are indicated. Based on the conducted research, it was established that understanding the impact of quantum technology on the innovation process requires an interdisciplinary approach with the integration of knowledge in computer science, physics, economics, and management. It was determined that the approaches of quantum modeling and analysis of the innovation process provide ideas for the management of innovation processes in the quantum economic system. The practical content describes the adaptation of the business model to quantum conditions and the development of effective strategic approaches to managing risk and business potential. Experts expect that the research, which is in the development stage, will become a reality in the field of quantum economics and IT.

References

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Published

2024-03-28

How to Cite

KORZH Р. (2024). QUANTUM APPROACHES TO THE MODELING AND ANALYSIS OF INNOVATION PROCESSES: PROSPECTS AND CHALLENGES. MODELING THE DEVELOPMENT OF THE ECONOMIC SYSTEMS, (1), 119–123. https://doi.org/10.31891/mdes/2024-11-16