Published in International Banker (in English) Since the 1950s, computers have played an increasingly crucial role in modern society, such that today the world is all but wholly dependent on them.
In this paper we briefly review two recent use-cases of quantum optimization algorithms applied to hard problems in finance and economy.
Published in El Economista (in Spanish) La ‘startup’ vasca, con filial en Canadá, coloca a Euskadi entre los mejores del mundo en computación cuántica aplicada a las finanzas y atrae talento internacional al futuro ‘hub’ vasco
Published in Business Insider (in Spanish)
We tackle the problem of dynamic portfolio optimization with discrete variables.
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.