Revolutionizing Entanglement Quantification: How Deep Learning Outperforms Traditional Methods With Limited Data

A group of research scholars have developed a method to measure the degree of entanglement of a system without measuring the quantum state of the system. This method, called quantum tomography, requires high computing power and involves passing the data or measurement description across deep layers. To improve the precision and recall values, a Deep Learning approach was used, which involved passing the data or measurement description across deep layers and using the maximum likelihood algorithm to obtain quantum correlations as the output. This approach provided satisfactory results and an AI app was generated and deployed.