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Xiaohui Zhu, Huaxiang Yin • Results in Physics
(2024)
Silicon (Si)-based quantum-dot (QD) device by advanced CMOS process is one of important technologies for quantum computing application and currently, it needs a fast and accurate quantum characteristics simulation for designing and optimizi...
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Open Access (DOAJ)
DOI: 10.1016/j.rinp.2024.107856
Mohammad Ali A. Hammoudeh, Abdullah T. Alessa, Amro M. Sherbeeni, Clinton M. Firth et al. • CRC Press eBooks
(2024)
"This book explores the exciting world of quantum computing, from its theoretical foundations to its practical applications, offering both non-technical and expert readers a comprehensive and accessible introduction to this cutting-edge tec...
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DOI: https://doi.org/10.1201/9781003475286
Kemal A. Delic • Ubiquity
(2015)
In recent months, announcements on the progress toward harnessing quantum computing have solicited divers and sometimes strong reactions and opinions from academia and industry. Some say quantum computing is impossible, while others point t...
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Open Access
DOI: https://doi.org/10.1145/2817212
Shuai Zhang, Ke-Xin Chen, Ji-Chong Yang • European Physical Journal C: Particles and Fields
(2025)
Abstract In recent years, with the increasing luminosities of colliders, handling the growing amount of data has become a major challenge for future New Physics (NP) phenomenological research. In order to improve efficiency, machine learnin...
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Open Access (DOAJ)
DOI: 10.1140/epjc/s10052-025-14069-1
Zhihua Li • Journal of Algorithms & Computational Technology
(2013)
A quantum mechanics interpretation of Fuzzy C-Mean (FCM) is presented. Cluster aims to study the data distribution in scale space. Its characteristics are very similar to the particle world in quantum physics. By analyzing the essence of th...
DOAJ
Open Access (DOAJ)
DOI: 10.1260/1748-3018.7.2.197
Anup Basnet Chetry, Keisuke Ohto • Journal of Cheminformatics
(2025)
Abstract Chemoinformatics is a rapidly advancing field that integrates chemistry, computer science, and data analysis to enhance the study and application of chemical systems. This interdisciplinary approach leverages computational tools an...
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Open Access (DOAJ)
DOI: 10.1186/s13321-025-00978-6
Alberto Baiardi, Matthias Christandl, Markus Reiher • ChemBioChem
(2023)
Molecular biology and biochemistry interpret microscopic processes in the living world in terms of molecular structures and their interactions, which are quantum mechanical by their very nature. Whereas the theoretical foundations of these ...
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other-oa
DOI: https://doi.org/10.1002/cbic.202300120
С.П. Євсєєв, С.С. Погасій, В.С. Хвостенко • Системи обробки інформації
(2021)
The development of computing technologies has made it possible not only to expand the range of mobile communication services, but also to significantly increase computing capabilities. The emergence of mobile Internet, 4G, 5G technologies m...
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Open Access (DOAJ)
DOI: 10.30748/soi.2021.166.03
Babu Ram Sankhi, Erwan Peigney, Hayden Brown, Pius Suh et al. • AIP Advances
(2025)
Single-molecule magnets (SMMs) are pivotal in molecular spintronics, showing unique quantum behaviors that can advance spin-based technologies. By incorporating SMMs into magnetic tunnel junctions (MTJs), new possibilities emerge for low-po...
DOAJ
Open Access (DOAJ)
DOI: 10.1063/9.0000868
Jun Yang, James Brown, James Daniel Whitfield • Frontiers in Physics
(2021)
Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized....
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fphy.2021.546538
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
Laura Sáez‐Ortuño, Rubén Huertas-García, Santiago Forgas‐Coll, Javier Sánchez et al. • Journal of Innovation & Knowledge
(2024)
The digital ecosystem continues to expand around the world and is revolutionising the way markets are researched. Indeed, consumer experiences are advertised and disseminated through so many channels and media that it has become a major cha...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.jik.2024.100510
Hernán Indíbil de la Cruz Calvo, Fernando Cuartero Gómez, José Javier Paulet González, Mauro Mezzini et al. • Mathematics
(2023)
In simulating Quantum Computing by using the circuit model the size of the matrices to deal with, together with the number of products and additions required to apply every quantum gate becomes a really hard computational restriction. This ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11173742
Tuna Hacaloglu, Hassan Soubra, Pierre Bourque, Alain Abran • IEEE Access
(2026)
Rapid growth in quantum computing has created an urgent need to adapt traditional software engineering methodologies. Among these methodological challenges, software size measurement plays a central role in project estimation, quality assur...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3700957
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...
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Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou et al. • PRX Quantum
(2024)
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup o...
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DOI: https://doi.org/10.1103/prxquantum.5.037001
Scott Aaronson • Physical Review A
(2005)
This paper initiates the study of hidden variables from a quantum computing perspective. For us, a hidden-variable theory is simply a way to convert a unitary matrix that maps one quantum state to another into a stochastic matrix that maps ...
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Open Access
DOI: https://doi.org/10.1103/physreva.71.032325
Samskruthi S Patil, M. Vijayalakshmi • Journal of Emerging Technologies and Innovative Research
(2021)
Quantum computing uses the phenomena of quantum mechanics to perform operations on data and it’s a huge leap in the field of computation. A quantum computer is a computational device which uses quantum mechanical phenomena like superpositio...
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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