QUANCO APPLIED BOLTZMANN MACHINES

Abstract

Advance, assess, and utilize QuAnCo (Quantum Annealing Computing) algorithms for machine learning, and to test QuAnCo applications to support the AFRL/RIs C4I (Command, Control, Communications, Computers & Intelligence) mission. In particular, it is proposed to assess, advance, and utilize QuAnCo in both classical Boltzmann machine (BM) [1] and quantum Boltzmann machine (qBM) [2] algorithms. The applications of BM and qBM proposed are both for cybersecurity and for pattern recognition.

Document Details

Document Type
DoD Grant Award
Publication Date
May 09, 2018
Source ID
FA87501810096

Entities

People

  • Mark Novotny

Organizations

  • Mississippi State University
  • Rome Laboratory
  • United States Air Force

Tags

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Neural Network Machine Learning.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Cyber
  • Cyber - Quantum
  • Fully Networked C3
  • Fully Networked C3 - Command and Control
  • Quantum Computing