TL;DR
This paper introduces a new, efficient methodology for mapping quantum circuits onto IBM QX architectures, significantly reducing runtime and gate overhead compared to existing solutions.
Contribution
The paper presents a novel, generic mapping methodology that outperforms IBM's own solution in speed and circuit optimization, and is adaptable to future architectures.
Findings
Outperforms IBM's mapping solution in runtime and gate count
Determines mappings within minutes for many circuits
Reduces additional gate overhead in mapped circuits
Abstract
In the past years, quantum computers more and more have evolved from an academic idea to an upcoming reality. IBM's project IBM Q can be seen as evidence of this progress. Launched in March 2017 with the goal to provide access to quantum computers for a broad audience, this allowed users to conduct quantum experiments on a 5-qubit and, since June 2017, also on a 16-qubit quantum computer (called IBM QX2 and IBM QX3, respectively). Revised versions of these 5-qubit and 16-qubit quantum computers (named IBM QX4 and IBM QX5, respectively) are available since September 2017. In order to use these, the desired quantum functionality (e.g. provided in terms of a quantum circuit) has to be properly mapped so that the underlying physical constraints are satisfied - a complex task. This demands solutions to automatically and efficiently conduct this mapping process. In this paper, we propose a…
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