One of the strategic questions I often get asked by clients is, "how can I future-proof my solutions so that I don't end up technical debt and legacy systems that are constraining my business agility?"
Designing a solution that is cloud-native is often the starting point for these discussions. One of the technologies that is going to be commercially available in the not too distant future is quantum chips/processors. With quantum computing gaining momentum, there is a need for architects to prioritise not just cloud-native but quantum-native designs. The hybrid architecture of the future is going to have both cloud and quantum computing workloads. Planning the use cases that will naturally fit in with quantum computing is the start of this journey. Within financial services, reporting, risk calculations (coupled with AI) and batch processing could be ideal use cases to consider initially.
Exciting times ahead!
Find out more in our report on 'Maintaining control in the cloud'.
To run such experiments, researchers often program their own classical computers with hybrid quantum algorithms that then use application programming interfaces, or APIs, to call on quantum machines in the cloud for specific bits of a calculation. The results are then shipped back to the classical machines.