01237nas a2200253 4500008004100000245004100041210004100082260001300123520055200136100001900688700002400707700002100731700002000752700002700772700001800799700001600817700001700833700002000850700002100870700001900891700001300910700002300923856003700946 2021 eng d00aQuantum Machine Learning for Finance0 aQuantum Machine Learning for Finance c9/9/20213 a
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade, and achieve disruptive impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the first industry sector to benefit from Quantum Computing not only in the medium and long terms, but even in the short term. This review paper presents the state of the art of quantum algorithms for financial applications, with particular focus to those use cases that can be solved via Machine Learning.
1 aPistoia, Marco1 aAhmad, Syed, Farhan1 aAjagekar, Akshay1 aButs, Alexander1 aChakrabarti, Shouvanik1 aHerman, Dylan1 aHu, Shaohan1 aJena, Andrew1 aMinssen, Pierre1 aNiroula, Pradeep1 aRattew, Arthur1 aSun, Yue1 aYalovetzky, Romina uhttps://arxiv.org/abs/2109.04298