In this thesis, we have developed a hybrid classical-quantum architecture to create an efficient and structured solution allowing users to execute various hybrid jobs. The developed backend allows the computation of both quantum and classical code in a geographically close location, reducing the latency of any job executed from anywhere in the world. Comparing the performance to a classical quantum backend, speed-up factors of up to 31 times when running a hybrid job using the proposed architecture have been achieved.
When implementing this innovative hybrid computing approach, the focus should lie on utilizing the best features of both hybrid and classical computing, delivering promising solutions to the challenges posed by the NISQ-era.