Quantum Machine Learning for Finance
It addresses the potential for quantum computing to disrupt the finance industry by applying machine learning techniques.
This review paper examines the state of the art in quantum algorithms for financial applications, focusing on use cases solvable via machine learning, as quantum computing is expected to surpass classical computers and benefit finance in the short to long term.
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.