Application of digital and quantum algorithms in fuzzy information situation model for investment risk management

Aim is to provide a general idea of the comparison of methods and algorithms for decision-making in a fuzzy information situation in risk management. Methodology. In the modern world, with a significant jump in the development of information technology and a significant increase in the volume of information, new means and methods for investing appear which in turn increases the number of situations with increased risks. Such situations require modern and timely solutions. Situational information processing algorithms help optimize the number of such situations and minimize them. And for the processed volume of risk situations, both classical methods of transmitting information and methods of transmitting and processing information using quantum technologies can be used. Results. Digital and quantum methods of information transmission and processing are presented. Advantages and disadvantages when working with them are described. Research implications. The described methods and algorithms can be applied and used in various spheres of the economy when working with increased risks of their forecasting and prevention.