Quantum error mitigation in quantum annealing

Quantum error mitigation in quantum annealing

Abstract Quantum error mitigation (QEM) presents a promising near-term approach to reducing errors when estimating expectation values in quantum computing. Here, we introduce QEM techniques tailored for quantum annealing, using zero-noise extrapolation (ZNE). We implement ZNE through zero-temperatur...

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Bibliographic Details
Main Authors: Jack Raymond, Mohammad H. Amin, Andrew D. King, Richard Harris, William Bernoudy, Andrew J. Berkley, Kelly Boothby, Anatoly Smirnov, Fabio Altomare, Michael Babcock, Catia Baron, Jake Connor, Martin H. Dehn, Colin Enderud, Emile Hoskinson, Shuiyuan Huang, Mark W. Johnson, Eric Ladizinsky, Trevor Lanting, Allison J. R. MacDonald, Gaelen Marsden, Reza Molavi, Travis Oh, Gabriel Poulin-Lamarre, Hugh Ramp, Chris Rich, Berta Trullas Clavera, Nicholas Tsai, Mark Volkmann, Jed D. Whittaker, Jason Yao, Niclas Heinsdorf, Nitin Kaushal, Alberto Nocera, Marcel Franz, Jacek Dziarmaga
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:npj Quantum Information
Online Access:https://doi.org/10.1038/s41534-025-00977-3

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https://doi.org/10.1038/s41534-025-00977-3

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