That there are many possible real-world applications for quantum computers is not in doubt. Currently, though, the industry lacks any real-world use cases that signify the technology will be life-changing for the vast majority of people on the planet.
Published in Expansion (in Spanish)
Published in Noticias de la Universidad del País Vasco (in Spanish)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time-evolution of interest rates.
Prediction of financial crashes in a complex financial network is known to be an NP-hard problem, i.e., a problem which cannot be solved efficiently with a classical computer.
A key problem in financial mathematics is the forecasting of financial crashes: if we perturb asset prices, will financial institutions fail on a massive scale?
We discuss how quantum computation can be applied to financial problems, providing an overview of current approaches and potential prospects.