Prioritization of Compiled Quantum Circuits for Different Quantum Computers

Quantum computers can solve certain problems faster than classical computers. The number of quantum computers offered via the cloud increases such that a variety is accessible for the public. However, current quantum computers still suffer from a small number of qubits and high error rates. Selecting a quantum computer providing enough qubits and low error rates is tremendously important to receive stable execution results for a given quantum circuit. The execution results are also influenced by the compilation result of the selected quantum compiler for hardware mapping and optimization. For computing time, the access is regulated by vendors of quantum computers resulting in waiting times for the user. Thus, a deep and manifold analysis of quantum computers and compiled circuits of different quantum compilers is required to estimate in advance which compiled circuit will return stable execution results also in consideration of non-functional requirements such as waiting times. To address this, we present a framework that analyzes and prioritizes compiled circuits for different quantum computers using several compilers based on the requirements of the user. We show the practical feasibility of our framework by a prototype and two use cases.