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Search Publications by: Abdella Battou (Fed)

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Displaying 26 - 50 of 56

White Rabbit-assisted quantum network node synchronization with quantum channel coexistence

May 7, 2022
Author(s)
Thomas Gerrits, Ivan Burenkov, Ya-Shian Li-Baboud, Anouar Rahmouni, DJ Anand, FNU Hala, Oliver T. Slattery, Abdella Battou, Sergey Polyakov
We show that the Ethernet-based time transfer protocol 'White Rabbit' can synchronize two distant quantum-networked nodes to within 4 ps, enabling HOM interference at >90 % visibility using 17.6 ps FWHM single-photons coexisting with White Rabbit.

Design and Experimentation Guidelines for DER's Emulation Testbed

September 21, 2021
Author(s)
Hasnae Bilil, Anfal Hathah, Abdella Battou
Due to the increasing integration of distributed energy resources (DERs) into the national grid, research is needed to understand high DER penetration in relation to grid reliability and stability. Emulation-based research is a viable option to consider

Resource optimization of quantum-enabled channels using novel modulation schemes

July 21, 2021
Author(s)
Jabir Marakkarakath Vadakkepurayil, FNU Nur Fajar Rizqi Annafianto, Ivan Burenkov, Abdella Battou, Sergey Polyakov
We introduce new practical modulation schemes inspired by the quantum measurement. We experimentally show that our quantum-enabled communication system optimizes the combined resource efficiency (CRE) beyond the classical, shot-noise-limited CRE.

Performance Evaluation of the NDN Data Plane Using Statistical Model Checking

July 19, 2021
Author(s)
Siham Khoussi, Lotfi Benmohamed, Abdella Battou, Junxiao Shi, James J. Filliben, Saddek Bensalem, Ayoub Nouri
Named Data Networking (NDN) is an emerging technology for a future Internet architecture that addresses weaknesses of the Internet Protocol (IP). Since Internet users and applications have demonstrated an ever-increasing need for high speed packet

Entanglement Blocking in DLCZ-based Networks

June 10, 2021
Author(s)
Abdella Battou
Resource and performance dependent blocking mechanisms for entanglement routing in quantum networks are identified and characterized in simulations of a DLCZ architecture under different loss and resource availability conditions.

Neural Networks for Classifying Probability Distributions

April 19, 2021
Author(s)
Siham Khoussi, N. Alan Heckert, Abdella Battou, Saddek Bensalem
Probability distribution fitting of an unknown stochastic process is an important preliminary step for any further analysis in science or engineering. However, it requires some background in statistics and prior considerations of the process or phenomenon

Optimal Cybersecurity Investments for SIS Model

February 15, 2021
Author(s)
Van Sy Mai, Richard La, Abdella Battou
We study the problem of minimizing the (time) average security costs in large systems comprising many interdependent subsystems, where the state evolution is captured by a susceptible-infected-susceptible (SIS) model. The security costs reflect security

Experimental demonstration of the near-quantum optimal receiver

November 19, 2020
Author(s)
Jabir Marakkarakath Vadakkepurayil, Ivan Burenkov, FNU Nur Fajar Rizqi Annafianto, Abdella Battou, Sergey Polyakov
We implement the cyclic quantum receiver based on the theoretical proposal of Roy Bondurant and demonstrate experimentally below the shot-noise limit (SNL) discrimination of quadrature phase-shift keying signals (PSK). We also experimentally test the

FPGA Implementation of a Low Latency and High SFDR Direct Digital Synthesizer for Resource-Efficient Quantum-Enhanced Communication

October 15, 2020
Author(s)
FNU Nur Fajar Rizqi Annafianto, Jabir Marakkarakath Vadakkepurayil, Ivan Burenkov, Hasan Urgurdag, Abdella Battou, Sergey Polyakov
In most modulation schemes for a telecommunication system, a fast and efficient sinusoidal signal generator is needed. Here we report on an FPGA implementation of a versatile CORDIC Based Direct Digital Synthesizer (DDS). Most commercial lightwave

Time-Resolving Quantum Measurement Enables Energy-Efficient, Large-Alphabet Communication

September 21, 2020
Author(s)
Ivan Burenkov, Jabir Marakkarakath Vadakkepurayil, Abdella Battou, Sergey Polyakov
Information exchange requires a measurement of physical states. Because quantum measurements enable accuracy beyond the classical shot-noise limit, they are successfully used to develop measurement tools and applications. In particular, quantum-measurement

Summary: Workshop on Machine Learning for Optical Communication Systems

March 26, 2020
Author(s)
Joshua A. Gordon, Abdella Battou, Michael P. Majurski, Dan Kilper, Uiara Celine, Massimo Tonatore, Joao Pedro, Jesse Simsarian, Jim Westdorp, Darko Zibar
Optical communication systems are expected to find use in new applications that require more intelligent and automated functionality. Optical networks are needed to address the high speeds and low latency of 5G wireless networks. The analog nature of

Workshop on Machine Learning for Optical Communication Systems: a summary

March 8, 2020
Author(s)
Joshua A. Gordon, Abdella Battou, Dan Kilper
A summary and overview of a public workshop on machine learning for optical Communication systems held on August 2nd 2019, by the Communications Technology Laboratory at the National Institute of Standards and Technology in Boulder, CO.

Modeling and Improving Named Data Networking over IEEE 802.15.4

February 10, 2020
Author(s)
Amar Abane, Paul Muhlethaler, Samia Bouzefrane, Abdella Battou
Enabling NDN in real-world IoT deployments becomes essential to benefit from ICN/NDN features in current IoT systems. To design realistic NDN-based communication solutions for IoT, revisiting mainstream technologies such as low-power wireless standards may

A Testbed for Quantum Communication and Quantum Networks

May 13, 2019
Author(s)
Lijun Ma, Abdella Battou, Xiao Tang, Oliver T. Slattery
The development of Quantum Networks is underway with significant acceleration in in recent years. Meanwhile. quantum scale devices and components such as single photon sources, detectors, memories and interfaces are ever readier to leave the laboratory

Distributed Algorithm for Suppressing Epidemic Spread in Networks

June 4, 2018
Author(s)
Van Sy Mai, Abdella Battou, Kevin L. Mills
This paper considers problems related to suppressing epidemic spread over networks given limited curing resources. The spreading dynamic is captured by a susceptible-infected- susceptible model. The epidemic threshold and recovery speed are determined by