Framework For Non-Quantum Developers

Quantum computing is advancing rapidly, yet its practical use remains largely restricted to

specialists. Current frameworks such as Qiskit or Cirq require deep expertise in quantum

mechanics, creating a barrier for the software engineering community. This thesis addresses

this challenge by proposing a high-level hybrid framework designed to abstract the complexity

of classical, quantum, and mixed computational paradigms.

The main objective of this research is to investigate how a software architecture can

support the selection and execution of classical, quantum, and hybrid methods without re-

quiring developers to have deep quantum expertise. To achieve this, abstraction mechanisms

inspired by classical computing are used. The proposed framework provides a unified API

that coordinates data encoding, cryptographic protocols, benchmarking tools, and selection

of the execution backend. By separating application logic from hardware and implemen-

tation constraints, the system allows developers to focus on high-level intent rather than

low-level circuit design or cryptographic configuration.

The research follows a Design Science Research methodology, leading to the construc-

tion of a modular software framework implemented in a language suited to the targeted

application domains. The artifact will be evaluated through targeted proofs of concept fo-

cused on image data encoding and secure computation. These evaluations assess whether

hybrid workflows can be expressed and executed through a unified interface while supporting

effective technical decision-making.

This thesis contributes to software engineering by proposing an architectural model that

lowers the entry barrier to quantum and hybrid computation. It aims to demonstrate

whether accessible, structured, and secure integration of quantum technologies is feasible

for non-expert developers, while remaining compatible with the constraints of current quan-

tum hardware.