Quantum Networks

About the Research

Experimental research focuses on creation, manipulation of entangled photonic states and entanglement manipulation and characterization. It includes fundamental properties of communication channels enabling quantum communication; loss and decoherence in quantum state transfer; entanglement distribution over channels of various physical implementations; and fundamental and technological performance limitations of quantum networks.

Theoretical research aims at functionalities of quantum networks for Army‑relevant operations that are unattainable by classical systems. It includes theories and models aimed at understanding quantum‑network phenomena, network protocols, algorithms and architectures; techniques and methods that enable the design and characterization of quantum networks; managing protocols for efficient entanglement routing, control and manipulation; and defining and characterizing network metrics.

DEVCOM Army Research Laboratory

ARL-R-CISD-300003

Michael Brodsky

Email: michael.brodsky
4.civ

The Computational and Information Sciences Directorate (CISD) conducts research in a variety of disciplines relevant to achieving and implementing the digital battlefield. Problems address the sensing, distribution, analysis, and display of information in the modern battle space. CISD research focuses on four major areas: communications, atmospheric modeling, battlefield visualization, and computing.

The Army Research Laboratory Research Associateship Program (ARL‑RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory help shape and execute the Army’s program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

• Curriculum Vitae or Resume
• Three reference forms (email with link will be provided; references should be from persons familiar with your educational and professional qualifications)
• Transcripts verifying receipt of degree (student/unofficial copy acceptable)

If selected by an advisor, the participant will also be required to write a research proposal to submit to the ARL‑RAP review panel.

• Research topic should relate to a specific opportunity at ARL (see Research Areas)
• The objective of the research topic should be clear and have a defined outcome
• Explain the direction you plan to pursue
• Include expected period for completing the study
• Include a brief background such as preparation and motivation for the research
• References of published efforts may be used to improve the proposal

A link to upload the proposal will be provided to the applicant once the advisor has made their selection.

• Degree:
  Doctoral Degree.
• Academic level:
  Any academic level.
• Discipline:
• Computer, Information, and Data Sciences
• Artificial Intelligence (including Robotics, Computer Vision, Human Language Processing, and Machine Learning)
• Computer Architecture and Grids
• Computer Science – Languages and Systems
• Computer Science – Theoretical Foundations
• Computer Science (general)
• Computer Systems Analysis
• Computer Systems Design (including Signal Processing)
• Databases, Information Retrieval, and Web Search
• Graphics and Visualization
• Human Computer Interaction
• Information Science and Technology
• Information Security and Assurance
• Networks and Communications
• Operating Systems and Middleware
• Scientific Computing and Informatics
• Software Engineering
• Engineering (not specified)
• Physics (not specified)
• Age:
  Must be 18 years of age or older.

Questions about this opportunity? Please email ARLFellowship.

Point of Contact: ARL‑RAP