Machine-Learning-Based Qubit Allocation for Error Reduction in Quantum Circuits

Machine-Learning-Based Qubit Allocation for Error Reduction in Quantum Circuits

Quantum computing is a quickly growing field with great potential for future technology. Quantum computers in the current noisy intermediate-scale quantum (NISQ) era face two major limitations:1) qubit count and 2) error vulnerability. Although quantum error correction methods exist, they are not ap...

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Bibliographic Details
Main Authors: Travis LeCompte, Fang Qi, Xu Yuan, Nian-Feng Tzeng, M. Hassan Najafi, Lu Peng
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Fidelity
graph neural networks (GNNs)
quantum compilation
qubit allocation
Online Access:https://ieeexplore.ieee.org/document/10209261/

Internet

https://ieeexplore.ieee.org/document/10209261/

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