  Quantum computers can solve specific problems that are not feasible on
"classical" hardware. Harvesting the speed-up provided by quantum computers
therefore has the potential to change any industry which uses computation,
including finance. First quantum applications for the financial industry
involving optimization, simulation, and machine learning problems have already
been proposed and applied to use cases such as portfolio management, risk
management, and pricing derivatives. This survey reviews platforms, algorithms,
methodologies, and use cases of quantum computing for various applications in
finance in a structured way. It is aimed at people working in the financial
industry and serves to gain an overview of the current development and
capabilities and understand the potential of quantum computing in the financial
industry.
