TY - JOUR T1 - Quantum Machine Learning for Finance Y1 - 2021 A1 - Marco Pistoia A1 - Syed Farhan Ahmad A1 - Akshay Ajagekar A1 - Alexander Buts A1 - Shouvanik Chakrabarti A1 - Dylan Herman A1 - Shaohan Hu A1 - Andrew Jena A1 - Pierre Minssen A1 - Pradeep Niroula A1 - Arthur Rattew A1 - Yue Sun A1 - Romina Yalovetzky AB -

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.

UR - https://arxiv.org/abs/2109.04298 ER -