Home »
Academic Articles & Research Papers
Showing 20 of 4,247 academic articles
Fei Yan, Abdullah M. Iliyasu, Sihao Jiao, Huamin Yang • Applied Sciences
(2019)
Utilising the properties of quantum mechanics, i.e., entanglement, parallelism, etc., a quantum structure is proposed for representing and manipulating emotion space of robots. This quantum emotion space (QES) provides a mechanism to extend...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app9163351
Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf et al. • Nature Communications
(2025)
Artificial intelligence (AI) advancements over the past few years have had an unprecedented and revolutionary impact across everyday application areas. Its significance also extends to technical challenges within science and engineering, in...
OPENALEX
cc-by
DOI: https://doi.org/10.1038/s41467-025-65836-3
PMC: 12673084
Cristian S. Calude, Michael J. Dinneen, Karl Svozil • Complexity
(2000)
In this rather speculative note three problems pertaining to the power and limits of quantum computing are posed and partially answered: (a) when are quantum speedups possible? (b) is fixed-point computing a better model for quantum computi...
OPENALEX
DOI: https://doi.org/10.1002/1099-0526(200009/10)6:1<35::aid-cplx1005>3.0.co;2-t
Sandeep K. Sood, Pooja • IEEE Transactions on Engineering Management
(2023)
Quantum computing (QC) has the potential to be the next abstruse technology, with a wide range of possible applications and ramifications for organizations and markets. QC provides an exponential speedup by employing quantum mechanics princ...
OPENALEX
DOI: https://doi.org/10.1109/tem.2023.3284689
Frederik F. Flöther • Research Directions Quantum Technologies
(2023)
Abstract Quantum computing hardware and software have made enormous strides over the last years1. Questions around quantum computing’s impact on research and society have changed from “if” to “when/how”. The 2020s have been described as the...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1017/qut.2023.4
Péter Wittek (2014)
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that expla...
OPENALEX
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...
OPENALEX
cc-by
DOI: https://doi.org/10.1002/wcms.1481
Sukhpal Singh Gill, Adarsh Kumar, Harvinder Singh, Manmeet Singh et al. • Software Practice and Experience
(2021)
Abstract Quantum computing (QC) is an emerging paradigm with the potential to offer significant computational advantage over conventional classical computing by exploiting quantum‐mechanical principles such as entanglement and superposition...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/spe.3039
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...
OPENALEX
cc-by
DOI: https://doi.org/10.1140/epjqt/s40507-021-00114-x
Michael Nofer, Kevin Bauer, Oliver Fast Hinz, Wil M. P. van der Aalst et al. • Business & Information Systems Engineering
(2023)
There are signs that we are approaching a technical revolution that might take humankind’s computational capabilities to a new level. Quantum Computing leverages the principles of quantum mechanics, enabling the computational power to solve...
OPENALEX
cc-by
DOI: https://doi.org/10.1007/s12599-023-00823-w
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...
OPENALEX
cc-by
DOI: https://doi.org/10.23919/ien.2022.0021
Alexandre M. Souza, Gonzalo A. Álvarez, Dieter Suter • Physical Review Letters
(2011)
Dynamical decoupling (DD) is a popular technique for protecting qubits from the environment. However, unless special care is taken, experimental errors in the control pulses used in this technique can destroy the quantum information instead...
OPENALEX
Open Access
DOI: https://doi.org/10.1103/physrevlett.106.240501
Xiao Chen • Scalable Computing Practice and Experience
(2000)
Jie Wu CRC Press Publishing Company, Boca Raton, FL, 1998, 496 pp. ISBN 0-8493-3178-1, $74.95 The Distributed System Design is a superbly organized, comprehensive exposition of basic concepts, issues, and some possible solutions in the di...
OPENALEX
DOI: https://doi.org/10.12694/scpe.v3i1.173
Pei-Jyun Leu, Bharat Bhargava • IEEE International Conference on Data Engineering (ICDE)
(2003)
A checkpoint/rollback algorithm is presented for multiple processes in a distributed system that uses message passing for communication. Each process in the system can initiate the algorithm autonomously. If only one instance of the algorit...
OPENALEX
DOI: https://doi.org/10.1109/icde.1988.105457
Xinhao Yuan, Junfeng Yang • International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)
(2020)
Despite their wide deployment, distributed systems remain notoriously hard to reason about. Unexpected interleavings of concurrent operations and failures may lead to undefined behaviors and cause serious consequences. We present Morpheus, ...
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3373376.3378484
James W. Mickens, Brian D. Noble (2006)
Loosely-coupled distributed systems have significant scale and cost advantages over more traditional architectures, but the availability of the nodes in these systems varies widely. Availability modeling is crucial for predicting per-machin...
OPENALEX
Patrick Th. Eugster, Rachid Guerraoui, Anne-Marie Kermarrec, Laurent Massoulié • Computer
(2004)
Easy to deploy, robust, and highly resilient to failures, epidemic algorithms are a potentially effective mechanism for propagating information in large peer-to-peer systems deployed on Internet or ad hoc networks. It is possible to adjust ...
OPENALEX
Open Access
DOI: https://doi.org/10.1109/mc.2004.1297243
Jon Crowcroft • Cambridge University Engineering Department Publications Database
(1995)
Featuring approximately 60 illustrations, 30 equations and 100 references, this book is a comprehensive text for students, and a practical guide for engineers....
OPENALEX
Dieter Haban, Dieter Wybranietz • IEEE Transactions on Software Engineering
(1990)
The authors describe a hybrid monitor for measuring the performance and observing the behavior of distributed systems during execution. They emphasize data collection, analysis and presentation of execution data. A special hardware support,...
OPENALEX
DOI: https://doi.org/10.1109/32.44382
Victor Lesser, Daniel D. Corkill • IEEE Transactions on Systems Man and Cybernetics
(1981)
A new approach for structuring distributed processing systems, called functionally accurate, cooperative (FA/C), is proposed. The approach differs from conventional ones in its emphasis on handling distribution-caused uncertainty and errors...
OPENALEX
DOI: https://doi.org/10.1109/tsmc.1981.4308581