Accenture and BBVA explore Quantum Computing in Finance

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Accenture has helped BBVA, a multinational financial services company, to exploring the use of Quantum computing.

Three use cases were identified where the complexity of the data, variables and outcomes presented significant challenges even for the most modern computer systems and software packages:

  • Currency arbitrage: Defining algorithms to deal with the complexity and competition involved in the process of deriving income from buying and selling currencies.
  • Credit scoring: Developing new credit scoring algorithms to deal with the increasing size of the datasets.
  • Portfolio optimization: Computing optimal trading trajectories to determine the potential impact of multiple variables on a portfolio’s performance over time.

We have yet discussed in a previous white paper about the opportunity cost for financial organizations not to explore Quantum Computing, even in its ‘low profile’ NISQ phase.

A team of researchers from Accenture worked with D-Wave and the innovation team at BBVA to explore how best to use quantum computing to gain a competitive advantage. Quantum algorithms were constructed to find opportunities for currency arbitrage, credit scoring, and optimizing trading trajectories.

These use cases were mathematically modeled by the team as optimization problems that could be tackled with quantum computing, and the final quantum algorithms were then implemented and tested using quantum annealers and hybrid solutions provided by D-Wave Systems. (Accenture)

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