ESE 499 Capstone Project by Serra Erdamar

ESE Department
Washington University in St. Louis
St. Louis, Missouri
serra.erdamar@wustl.edu

Project Advisor:
Jung-Tsung Shen
jushen@wustl.edu

Second Advisor:
Zhou Yao
zhouyao@wustl.edu

Summary

  • Used an artificial neural network to predict entanglement in quantum systems and showed that it is better than a random forest classifier
  • Used a gradient relabeling scheme for points near the boundary of separable or entangled which showed that the minimum eigenvalue of a system is not necessarily positively correlated to degree of entanglement.