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

Correction to: Scientific Reports https://doi.org/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:

“$256 \times 256$ 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 $U_{\mathscr{R}}$ circuit. The final two rows list the reduction in $R_y$ and $\text {CNOT}$ gates compared to the uncompressed circuits.”

now reads:

“$28 \times 28$ image data from the MNIST^47,48 database simulated with QPIXL++ at various compression levels and corresponding gate counts of the 11-qubit $U_{\mathscr{R}}$ circuit. The final two rows list the reduction in $R_y$ and $\text {CNOT}$ gates compared to the uncompressed circuits.”

The legend of Figure 6:

“$28 \times 28$ image data from the MNIST^47,48 database simulated with QPIXL++ at various compression levels and corresponding gate counts of the 11-qubit $U_{\mathscr{R}}$ circuit. The final two rows list the reduction in $R_y$ and $\text {CNOT}$ gates compared to the uncompressed circuits.”

now reads:

“$256 \times 256$ 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 $U_{\mathscr{R}}$ circuit. The final two rows list the reduction in $R_y$ and $\text {CNOT}$ gates compared to the uncompressed circuits.”

The original Article has been corrected.