Reinforcement Learning and DEAR Framework for Solving the Qubit Mapping Problem

Quantum computing is gaining more and more attention due to its huge potential and the constant progress in quantum computer development. IBM and Google have released quantum architectures with more than 50 qubits. However, in these machines, the physical qubits are not fully connected so that two-q...

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Bibliographic Details

Published in:	2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) pp. 1 - 9
Main Authors:	Huang, Ching-Yao, Lien, Chi-Hsiang, Mak, Wai-Kei
Format:	Conference Proceeding
Language:	English
Published:	ACM 29.10.2022
Subjects:	Computer architecture Logic gates Monte Carlo methods Qubit Reinforcement learning Routing Transforms
ISSN:	1558-2434
Online Access:	Get full text
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