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Academic Articles & Research Papers
Showing 20 of 285 academic articles
Md Habib Ullah, Rozhin Eskandarpour, Honghao Zheng, Amin Khodaei • IET Generation Transmission & Distribution
(2022)
Abstract Computational complexities in modern power systems are reportedly increasing daily, and it is anticipated that traditional computers might be inadequate to provide the computation prerequisite in future complex power grids. In that...
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DOI: https://doi.org/10.1049/gtd2.12602
Akshay Ajagekar, Fengqi You • Energy
(2019)
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Open Access
DOI: https://doi.org/10.1016/j.energy.2019.04.186
Carlos Outeiral, Martin Strahm, Jiye Shi, Garrett M. Morris et al. • Wiley Interdisciplinary Reviews Computational Molecular Science
(2020)
Abstract Quantum computers can in principle solve certain problems exponentially more quickly than their classical counterparts. We have not yet reached the advent of useful quantum computation, but when we do, it will affect nearly all sci...
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DOI: https://doi.org/10.1002/wcms.1481
Surya Teja Marella, Hemanth Sai Kumar Parisa • IntechOpen eBooks
(2020)
Quantum computing is a modern way of computing that is based on the science of quantum mechanics and its unbelievable phenomena. It is a beautiful combination of physics, mathematics, computer science and information theory. It provides hig...
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DOI: https://doi.org/10.5772/intechopen.94103
Andreas Bayerstadler, Guillaume Becquin, Julia Binder, Thierry Botter et al. • EPJ Quantum Technology
(2021)
Abstract Quantum computing promises to overcome computational limitations with better and faster solutions for optimization, simulation, and machine learning problems. Europe and Germany are in the process of successfully establishing resea...
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DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x
Muhammad Ali Shafique, Arslan Munir, Imran Latif • IEEE Access
(2024)
Quantum computing, a transformative field that emerged from quantum mechanics and computer science, has gained immense attention for its potential to revolutionize computation. This paper aims to address the fundamentals of quantum computin...
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DOI: https://doi.org/10.1109/access.2024.3362955
Yifan Zhou, Zefan Tang, Nima Nikmehr, Pouya Babahajiani et al. • iEnergy
(2022)
Electric power systems provide the backbone of modern industrial societies. Enabling scalable grid analytics is the keystone to successfully operating large transmission and distribution systems. However, today's power systems are suffering...
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DOI: https://doi.org/10.23919/ien.2022.0021
Ali Javadi-Abhari, Matthew Treinish, Kevin Krsulich, Christopher J. Wood et al. • arXiv (Cornell University)
(2024)
We describe Qiskit, a software development kit for quantum information science. We discuss the key design decisions that have shaped its development, and examine the software architecture and its core components. We demonstrate an end-to-en...
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DOI: https://doi.org/10.48550/arxiv.2405.08810
Daniel J. Egger, Claudio Gambella, Jakub Marecek, Scott McFaddin et al. • IEEE Transactions on Quantum Engineering
(2020)
This article outlines our point of view regarding the applicability, state-of-the-art, and potential of quantum computing for problems in finance. We provide an introduction to quantum computing as well as a survey on problem classes in fin...
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DOI: https://doi.org/10.1109/tqe.2020.3030314
Dylan Herman, Cody Googin, Xiaoyuan Liu, Alexey Galda et al. • RePEc: Research Papers in Economics
(2022)
Quantum computers are expected to surpass the computational capabilities of classical computers during this decade and have transformative impact on numerous industry sectors, particularly finance. In fact, finance is estimated to be the fi...
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Open Access
DOI: https://doi.org/10.48550/arxiv.2201.02773
Hongyi Wang, Qingfeng Jing, Rishan Chen, Bingsheng He et al. (2014)
Cloud computing allows users to perform computation in a public cloud with a pricing scheme typically based on incurred resource consumption. While cloud comput-ing is often considered as merely a new application for classic distributed sys...
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Yichuan Jiang • IEEE Transactions on Parallel and Distributed Systems
(2015)
In past decades, significant attention has been devoted to the task allocation and load balancing in distributed systems. Although there have been some related surveys about this subject, each of which only made a very preliminary review on...
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DOI: https://doi.org/10.1109/tpds.2015.2407900
Harish K. Pillai, Shiva Shankar • SIAM Journal on Control and Optimization
(1999)
This paper develops a theory of control for distributed systems (i.e., those defined by systems of constant coefficient partial differential operators) via the behavioral approach of Willems. The study here is algebraic in the sense that it...
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DOI: https://doi.org/10.1137/s0363012997321784
Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems
(2025)
This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...
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DOI: https://doi.org/10.1016/j.iotcps.2025.01.001
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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DOI: https://doi.org/10.1162/coli_r_00312
Octavian-Eugen Ganea, Gary Bécigneul, Thomas Hofmann • arXiv (Cornell University)
(2018)
Hyperbolic spaces have recently gained momentum in the context of machine learning due to their high capacity and tree-likeliness properties. However, the representational power of hyperbolic geometry is not yet on par with Euclidean geomet...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1805.09112
Richard J. Mammone (1994)
Neural Networks for speech processing. Neural Networks in the acquisition of speech by machine. The nervous system - fantasy and reality. Processing of complex stimuli in the mammalian cochlear nucleus. On the possible role of auditory peri...
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Gene A. Tagliarini, John Fury Christ, Edward W. Page • IEEE Transactions on Computers
(1991)
The design of feedback (or recurrent) neural networks to produce good solutions to complex optimization problems is discussed. The theoretical basis for applying neural networks to optimization problems is reviewed, and a design rule that s...
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DOI: https://doi.org/10.1109/12.106220
Hervé Abdi • Journal of Biological Systems
(1994)
Neural networks are composed of basic units somewhat analogous to neurons. These units are linked to each other by connections whose strength is modifiable as a result of a learning process or algorithm. Each of these units integrates indep...
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DOI: https://doi.org/10.1142/s0218339094000179
Hal S. Stern • Technometrics
(1996)
Artificial neural networks are computer algorithms or computer programs derived in part from attempts to model the activity of nerve cells. They have been applied to pattern recognition, classification, and optimization problems in the phys...
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DOI: https://doi.org/10.1080/00401706.1996.10484497