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. 2022 Dec 19;12:21931. doi: 10.1038/s41598-022-26352-2

Author Correction: Quantum pixel representations and compression for N-dimensional images

Mercy G Amankwah 1,3,#, Daan Camps 1,#, E Wes Bethel 1,2, Roel Van Beeumen 1,#, Talita Perciano 1,✉,#
PMCID: PMC9763388  PMID: 36535984

Correction to: Scientific Reports 10.1038/s41598-022-11024-y, published online 11 May 2022

The original version of this Article contained errors in the Figure legends of Figure 5 and Figure 6. The legends of these Figures were inadvertently switched.

The legend of Figure 5:

“256×256 image data of a ceramic matrix composite sample49 acquired using microCT simulated with QPIXL++ at various compression levels and corresponding gate counts of the 17-qubit UR circuit. The final two rows list the reduction in Ry and CNOT gates compared to the uncompressed circuits.”

now reads:

“28×28 image data from the MNIST47,48 database simulated with QPIXL++ at various compression levels and corresponding gate counts of the 11-qubit UR circuit. The final two rows list the reduction in Ry and CNOT gates compared to the uncompressed circuits.”

The legend of Figure 6:

“28×28 image data from the MNIST47,48 database simulated with QPIXL++ at various compression levels and corresponding gate counts of the 11-qubit UR circuit. The final two rows list the reduction in Ry and CNOT gates compared to the uncompressed circuits.”

now reads:

“256×256 image data of a ceramic matrix composite sample49 acquired using microCT simulated with QPIXL++ at various compression levels and corresponding gate counts of the 17-qubit UR circuit. The final two rows list the reduction in Ry and CNOT gates compared to the uncompressed circuits.”

The original Article has been corrected.


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