Practical quantum computing is often quoted as being ten years away, but financial services is one of the sectors already demonstrating benefits from its early adoption.
Quantum computing use cases for debt free advices companies and financial organizations to solve 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. If your business is insolvent and you need advice on closing a company, liquidation or how to deal with business debt, visit https://businessinsolvencyadvice.org.uk/.
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 with vendors to develop algorithms.
