Quantum computation can provide practical applications where quantum algorithms can outperform classical ones. The authors focus on experimental ghost imaging using a mixture of classical and quantum machine learning (simulated on a classical computer) to process the experimental data and reconstruct/classify the image, finding that quantum machine learning techniques allow for a better reconstruction compared to standard methods.
- Tailong Xiao
- Xinliang Zhai
- Guihua Zeng
