QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Document Details

Document Type
Pub Defense Publication
Publication Date
Oct 17, 2018
Source ID
10.1371/journal.pone.0205844

Entities

People

  • Jacob M. Taylor
  • Justyna P Zwolak
  • Sandesh S Kalantre
  • Stephen Ragole
  • Xingyao Wu

Organizations

  • United States Army Research Laboratory

Tags

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Quantum Computing
  • Quantum Science - Quantum Dots