SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers

Exploration into quantum machine learning has grown tremendously in recent years due to the ability of computers speed up classical programs. However, these ef- forts have yet solve unsupervised similarity detection tasks challenge porting them run on com- puters. To overcome this challenge, we propose SLIQ, first open-sourced work for resource-efficient sim- ilarity networks, built with practical and effective variance-reducing algorithms.