PROBING THE QUANTUM-CLASSICAL TRANSITION WITH BAYES-ENHANCED SCANNING GATE MICROSCOPY

Abstract

Although quantum based technologies have been considered to constitute a revolutionizingfield, most of possible applications are limited by quantum decoherence. A similar concept, einselection states that the environment selects pointer states that better connect to classical states. Those stable orbits can be probed using the technique of scanning gate microscopy. These images, however, have to be greatly improved before any relevant information can be extracted from them. Here, a generative-adversarial network strategy is proposed to obtain the local density of states from scanning gate microscopy images.

Document Details

Document Type
DoD Grant Award
Publication Date
Aug 12, 2021
Source ID
FA95502010377

Entities

People

  • Carlo Da Cunha

Organizations

  • Air Force Office of Scientific Research
  • Federal University of Rio Grande do Sul
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing
  • Quantum Science - Quantum Dots
  • Space
  • Space - Space Objects