Quanco Applied to Boltzmann Machines

Abstract

Report on research under FA8750-18-0096: research at the intersection of quantum computing (in particular quantum annealing machines), machine learning (in particular Boltzmann machines), and cybersecurity (in particular classification of net flow traffic). These quantum machines, and their applications, are still in their infancy, and will become useful only in subsequent generations of machines.

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Document Details

Document Type
Technical Report
Publication Date
Feb 13, 2020
Accession Number
AD1091301

Entities

People

  • Mark Novotny
  • Yaroslav Koshka

Organizations

  • Mississippi State University

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Artificial Neural Networks
  • Computational Science
  • Computer Programs
  • Computers
  • Data Science
  • Data Set
  • Data Sets
  • Engineering
  • Governments
  • Homeland Security
  • Information Science
  • Intrusion Detection
  • Machine Learning
  • Monte Carlo Method
  • National Security
  • Neural Networks
  • Quantum Computers
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Quantum Properties
  • Sampling
  • Students
  • United States

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks
  • Cyber
  • Cyber - Quantum
  • Quantum Computing