MQT QMAP Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3569052.3578928
· OA: W4318719623
Quantum computing is an emerging technology that has the potential to\nrevolutionize fields such as cryptography, machine learning, optimization, and\nquantum simulation. However, a major challenge in the realization of quantum\nalgorithms on actual machines is ensuring that the gates in a quantum circuit\n(i.e., corresponding operations) match the topology of a targeted architecture\nso that the circuit can be executed while, at the same time, the resulting\ncosts (e.g., in terms of the number of additionally introduced gates, fidelity,\netc.) are kept low. This is known as the quantum circuit mapping problem. This\nsummary paper provides an overview of QMAP, an open-source tool that is part of\nthe Munich Quantum Toolkit (MQT) and offers efficient, automated, and\naccessible methods for tackling this problem. To this end, the paper first\nbriefly reviews the problem. Afterwards, it shows how QMAP can be used to\nefficiently map quantum circuits to quantum computing architectures from both a\nuser's and a developer's perspective. QMAP is publicly available as open-source\nat https://github.com/cda-tum/qmap.\n
