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Academic Articles & Research Papers
Showing 20 of 1,051 academic articles
R Vinutha, V Haripriya • International Journal of Advanced Research in Science Communication and Technology
(2024)
In order to solve challenging optimization issues, analyze data effectively, and improve the capabilities of current machine learning algorithms, quantum computing has the potential to revolutionize the area of machine learning. The propose...
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Open Access
DOI: https://doi.org/10.48175/ijarsct-15955
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...
DOAJ
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
Sayaki Matsushita • IEEE Transactions on Quantum Engineering
(2026)
Linear regression is fundamental to statistical analysis and machine learning, but its application to large-scale datasets necessitates distributed computing. The problem also arises in quantum computing, where handling extensive data requi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/TQE.2026.3687237
Ziqiang Wang, Jing Zhang, Huili Chen, Xinyu Zhang et al. • Frontiers in Immunology
(2025)
BackgroundM2-like tumor-associated macrophages (TAMs) promote an immunosuppressive microenvironment and contribute to tumor progression and metastasis. However, their molecular characterization and prognostic value have not been fully explo...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fimmu.2025.1650726
Daniel Mills, Seyon Sivarajah, Travis L. Scholten, Ross Duncan • Quantum
(2021)
Quantum computing systems need to be benchmarked in terms of practical tasks they would be expected to do. Here, we propose 3 "application-motivated" circuit classes for benchmarking: deep (relevant for state preparation in the variational ...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2021-03-22-415
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
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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cc-by-nc
DOI: https://doi.org/10.1049/gtd2.12602
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...
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DOI: https://doi.org/10.1017/qut.2023.4
Jeffery C. Atik, Valentin Jeutner • Law Innovation and Technology
(2019)
Quantum computing technology will greatly enhance the abilities of the emerging field of computational law to express, model, and operationalise law in algorithmic form. Foreshadowing the harnessing of the power of quantum computing technol...
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DOI: https://doi.org/10.1080/17579961.2021.1977216
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...
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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
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
Zebo Yang, Maede Zolanvari, Raj Kumar Jain • IEEE Communications Surveys & Tutorials
(2023)
Driven by the rapid progress in quantum hardware, recent years have witnessed a furious race for quantum technologies in both academia and industry. Universal quantum computers have supported up to hundreds of qubits, while the scale of qua...
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DOI: https://doi.org/10.1109/comst.2023.3254481
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
Yudong Cao, Jonathan Romero, Alán Aspuru‐Guzik • IBM Journal of Research and Development
(2018)
Quantum computing has rapidly advanced in recent years due to substantial development in both hardware and algorithms. These advances are carrying quantum computers closer to their impending commercial utility. Drug discovery is a promising...
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DOI: https://doi.org/10.1147/jrd.2018.2888987
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
Mark Fingerhuth, Tomáš Babej, Péter Wittek • PLoS ONE
(2018)
Open source software is becoming crucial in the design and testing of quantum algorithms. Many of the tools are backed by major commercial vendors with the goal to make it easier to develop quantum software: this mirrors how well-funded ope...
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DOI: https://doi.org/10.1371/journal.pone.0208561
PMC: 6301779
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