Large-scale quantum approximate optimization on nonplanar graphs with machine learning noise mitigation
Quantum computers are increasing in size and quality but are still very noisy. Error mitigation extends the size of the quantum circuits that noisy devices can meaningfully execute. However, state-of-the-art error mitigation methods are hard to implement and the limited qubit connectivity in superco...
Main Authors: | Stefan H. Sack, Daniel J. Egger |
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Format: | Article |
Language: | English |
Published: |
American Physical Society
2024-03-01
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Series: | Physical Review Research |
Online Access: | http://doi.org/10.1103/PhysRevResearch.6.013223 |
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