Towards automatic comparison of quantum transpilers

Speaker:

Wiktor Pawłowski, Institute of Computer Science, AGH Krakow, P

Abstract

Current quantum computers, as well as those that will be created in the near future, are not perfect. Their topological realizations deviate significantly from the ideal ones. External factors and imperfections in the hardware introduce errors and noise into the calculations, which significantly degrade the quality of the results, as well as the ability to perform calculations [1]. For these reasons, in order to perform calculations on them, quantum circuits, which are the equivalent of programs for classical computers, must be adapted (transpiled) to the target hardware and optimized to minimize errors and the impact of noise [2].

In this presentation, various techniques of quantum circuits optimization will be presented. The author will show a tool for automatic comparison of quantum transpilers with help of various metrics. The most interesting experimental results will be shown. Finally, the author will introduce the idea of using neural networks to predict quantum transpilers performance.

References

[1] Preskill J.: Quantum Computing in the NISQ era and beyond. In : Quantum, vol. 2, p. 79, 2018. URL http://dx.doi.org/10.22331/q-2018-08-06-79.

[2] Amy, Matthew: Algorithms for the Optimization of Quantum Circuits. Master’s thesis, 2013. URL http: //hdl.handle.net/10012/7818.