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Academic Articles & Research Papers
Showing 20 of 952 academic articles
Kiran Kumar Amireddy, P. V. R. Ravindra Reddy, C. Nagendranatha Reddy, P. Prabhakar Reddy • Frontiers in Sensors
(2026)
This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...
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Open Access (DOAJ)
DOI: 10.3389/fsens.2026.1968999
Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari
(2025)
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...
DOAJ
Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Adam Callison, Nicholas Chancellor, Florian Mintert, Viv Kendon • New Journal of Physics
(2019)
Quantum computation using continuous-time evolution under a natural hardware Hamiltonian is a promising near- and mid-term direction toward powerful quantum computing hardware. We investigate the performance of continuous-time quantum walks...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ab5ca2
Nikhil Kumar Parida, Chandrashekar Jatoth, V. Dinesh Reddy, Md. Muzakkir Hussain et al. • Scientific Reports
(2023)
Abstract Blockchain technology finds widespread application across various fields due to its key features such as immutability, reduced costs, decentralization, and transparency. The security of blockchain relies on elements like hashing, d...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-023-47331-1
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...
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DOI: https://doi.org/10.1038/s41467-025-65836-3
PMC: 12673084
Stefano Mangini, Francesco Tacchino, Dario Gerace, Daniele Bajoni et al. • Europhysics Letters (EPL)
(2021)
Abstract Neural networks are computing models that have been leading progress in Machine Learning (ML) and Artificial Intelligence (AI) applications. In parallel, the first small-scale quantum computing devices have become available in rece...
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Open Access
DOI: https://doi.org/10.1209/0295-5075/134/10002
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...
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DOI: https://doi.org/10.1109/tem.2023.3284689
Christoph Kloeffel, Daniel Loss • Annual Review of Condensed Matter Physics
(2013)
Experimental and theoretical progress toward quantum computation with spins in quantum dots (QDs) is reviewed, with particular focus on QDs formed in GaAs heterostructures, on nanowire-based QDs, and on self-assembled QDs. We report on a re...
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Open Access
DOI: https://doi.org/10.1146/annurev-conmatphys-030212-184248
Nivedita Arora, Prem Kumar • Communications of the ACM
(2025)
While researchers in both industry and academia are racing to build quantum computing (QC) platforms with viable performance and functionality, the environmental impacts of this endeavor, such as its carbon footprint, e-waste generation, mi...
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DOI: https://doi.org/10.1145/3745782
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
Jasmeet Singh, Mohit Singh • International Conference on System Modeling & Advancement in Research Trends (SMART)
(2016)
With the skyrocketing needs of rapid processing speed and miniaturization, classical computers are not able to keep up the pace with these few necessary parameters. As classical computers work on classical mechanics there expansion is at ze...
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DOI: https://doi.org/10.1109/sysmart.2016.7894533
Sukhpal Singh Gill, Rajkumar Buyya • Journal of Economy and Technology
(2024)
Quantum computing is a novel method of computation that uses the principles of quantum mechanics to handle highly challenging situations in a very short amount of time. Quantum technology has the ability to significantly impact worldwide ad...
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DOI: https://doi.org/10.1016/j.ject.2024.07.001
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...
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DOI: https://doi.org/10.1007/s12599-023-00823-w
Carmen G. Almudéver, Lingling Lao, Xiang Fu, Nader Khammassi et al. • Design, Automation, and Test in Europe
(2017)
Quantum computers may revolutionize the field of computation by solving some complex problems that are intractable even for the most powerful current supercomputers. This paper first introduces the basic concepts of quantum computing and de...
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DOI: https://doi.org/10.23919/date.2017.7927104
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
Hilal Ahmad Bhat, Farooq Ahmad Khanday, Brajesh Kumar Kaushik, Faisal I. Bashir et al. • IEEE Open Journal of Nanotechnology
(2022)
Quantum Computing is a technology, which promises to overcome the drawbacks of conventional CMOS technology for high density and high performance applications. Its potential to revolutionize today's computing world is attracting more and mo...
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DOI: https://doi.org/10.1109/ojnano.2022.3178545
• Journal of Materials Chemistry
(2009)
Molecular spintronics is a new and emergent sub-area of spintronics that can benefit from achievements in molecular electronics and molecular magnetism. This issue highlights the current trends and challenging goals of this area: from the d...
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DOI: https://doi.org/10.1039/b901955n
A. Narayanan • IEEE Congress on Evolutionary Computation (CEC)
(2003)
The paper introduces the basic concepts and principles behind quantum computing and examines in detail Shor's (1994) quantum algorithm for factoring very large numbers. Some basic methodological principles and guidelines for constructing qu...
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DOI: https://doi.org/10.1109/cec.1999.785552
James C. L. Chow • Medical Sciences
(2024)
Quantum computing (QC) represents a paradigm shift in computational power, offering unique capabilities for addressing complex problems that are infeasible for classical computers. This review paper provides a detailed account of the curren...
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DOI: https://doi.org/10.3390/medsci12040067
PMC: 11586987