Probability estimation, the process of predicting the likelihood of various outcomes in complex systems, is a cornerstone of decision-making in numerous fields. Classical computing often faces challenges in accurately estimating probabilities in systems with a large number of variables due to computational limitations. Quantum computing, with its ability to process information in parallel and handle complex calculations efficiently, offers a significant edge in this area. Classiq's platform enables the formulation of quantum algorithms that can more accurately and rapidly estimate probabilities in various scenarios, such as financial risk assessment, weather prediction, or complex simulations in engineering and research. This quantum advantage allows for more informed decision-making and the ability to tackle problems previously deemed too complex for traditional computing methods.