20-21 June 2022
Hotel Mercure Budapest Castle Hill
Europe/Budapest timezone

Efficient quantum gate decomposition via adaptive circuit compression

21 Jun 2022, 10:10
30m
Hotel Mercure Budapest Castle Hill

Hotel Mercure Budapest Castle Hill

1013 Budapest, Krisztina Körút 41-43
Lecture Session V

Speaker

Peter Rakyta (Department of Physics of Complex Systems, Eötvös Loránd University)

Description

In this work, we report on a novel quantum gate approximation algorithm based on the application of parametric two-qubit gates in the synthesis process. The utilization of these parametric two-qubit gates in the circuit design allows us to transform the discrete combinatorial problem of circuit synthesis into an optimization problem over continuous variables. The circuit is then compressed by a sequential removal of two-qubit gates from the design, while the remaining building blocks are continuously adapted to the reduced gate structure by iterated learning cycles. We implemented the developed algorithm in the SQUANDER software package and benchmarked it against several state-of-the-art quantum gate synthesis tools. Our numerical experiments revealed outstanding circuit compression capabilities of our compilation algorithm providing the most optimal gate count in the majority of the addressed quantum circuits.

Primary authors

Peter Rakyta (Department of Physics of Complex Systems, Eötvös Loránd University) Zoltan Zimboras (Wigner RCP)

Presentation Materials