Quantum computing use cases for financial organizations involve solving complex problems that have too many variables for classical computers to be able to return a result on a realistic timescale. These include making accurate predictions of markets, predicting trading signals in financial markets, calculating credit-decision outcomes, portfolio optimization, risk mitigation and identifying fraudulent activity.
Current quantum computers have a limited number of qubits – a measure of quantum computing power – are unwieldy and expensive, and existing code libraries are limited. Other barriers to adoption include a skills gap, poor return on investment and a limited supporting ecosystem.
To get around this, most businesses access quantum computing resources from major quantum computing suppliers via the cloud and work in partnership
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