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Academic Articles & Research Papers
Showing 20 of 1,051 academic articles
Krai Cheamsawat, Thiparat Chotibut • Entropy
(2025)
Quantum reservoir computing (QRC) has emerged as a promising paradigm for harnessing near-term quantum devices to tackle temporal machine learning tasks. Yet, identifying the mechanisms that underlie enhanced performance remains challenging...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e27010088
Mochamad Wahyudi, Solikhun Solikhun • Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
(2023)
The creation of quantum circuit architecture based on the quantum perceptron algorithm to classify marketing bank data is proposed in this work. A quantum circuit is a quantum gate made up of two quantum gates. Quantum bits are used in this...
DOAJ
Open Access (DOAJ)
DOI: 10.29207/resti.v7i1.4526
Zhan Yang, Shixin Liu, Linjun Li, Qinkai Chen et al. • SmartBot
(2025)
ABSTRACT The evolution from passive nanoscale observation to active robotic manipulation represents a paradigm shift in humanity's quest to master matter at the atomic scale. This review systematically traces the historical and conceptual f...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/smb2.12021
Manisha Bharti, Tanvika Garg • Wiley eBooks
(2022)
Quantum computers can bring about development in various fields like science and medicine that could save lives. Quantum computing can be instrumental in the advancement of machine learning so that illness can be diagnosed very quickly. Wit...
OPENALEX
Open Access
DOI: https://doi.org/10.1002/9781119777465.ch4
Mario Coccia, Saeed Roshani, Melika Mosleh • IEEE Transactions on Engineering Management
(2022)
Quantum computing is a vital research field in science and technology. One of the fundamental questions hardly known is how quantum computing research is developing to support scientific advances and the evolution of path-breaking technolog...
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DOI: https://doi.org/10.1109/tem.2022.3175633
Mritunjay Shall Peelam, Anjaney Asreet Rout, Vinay Chamola • IET Quantum Communication
(2023)
Abstract The rapidly developing discipline of quantum computing (QC) employs ideas from quantum physics to improve the performance of traditional computers and other devices. Because of the dramatically improved speed at which it processes ...
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cc-by-nc-nd
DOI: https://doi.org/10.1049/qtc2.12079
Tobias Haug, Chris N Self, M S Kim • Machine Learning: Science and Technology
(2023)
Quantum computers promise to enhance machine learning for practical applications. Quantum machine learning for real-world data has to handle extensive amounts of high-dimensional data. However, conventional methods for measuring quantum ker...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/acb0b4
Yuwei Cui, Kunrong Wu, Ping Wu, Luyan Yang et al. • Machine Learning: Science and Technology
(2026)
Donor-based spin qubits in silicon are a promising platform for scalable quantum computing due to their long coherence times and high-fidelity gate operations. A viable path for fabricating donor qubit arrays with atomic precision is scanni...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/ae8e30
Nouf Ali AL Ajmi, Muhammad Shoaib • Applied Sciences
(2025)
This study presents a comprehensive comparison of multiple optimization algorithms applied to a quantum classification model, utilizing the Cleveland dataset. Specifically, the research focuses on three prominent optimizers—COBYLA, L-BFGS-B...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app15084493
David E. Bernal, Akshay Ajagekar, Stuart M. Harwood, Spencer T. Stober et al. • AIChE Journal
(2022)
Abstract Quantum computing has been attracting public attention recently. This interest is driven by the advancements in hardware, software, and algorithms required for its successful usage and the promise that it entails the potential acce...
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DOI: https://doi.org/10.1002/aic.17651
Hinako Asaoka, Kazue Kudo • Scientific Reports
(2023)
Abstract Classical computing has borne witness to the development of machine learning. The integration of quantum technology into this mix will lead to unimaginable benefits and be regarded as a giant leap forward in mankind’s ability to co...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-023-43729-z
Shtwai Alsubai, Mohamed Ayari, Natalia Kryvinska, Ahmad Almadhor et al. • Scientific Reports
(2026)
Abstract Cybersecurity challenges have become increasingly complex and widespread, and the risks associated with these problems are substantial, affecting thousands of individuals and organisations and being crucial to national security. As...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-40634-z
Román Orús, Samuel Mugel, Enrique Lizaso • Reviews in Physics
(2019)
We discuss how quantum computation can be applied to financial problems, providing an overview of current approaches and potential prospects. We review quantum optimization algorithms , and expose how quantum annealers can be used to optimi...
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cc-by
DOI: https://doi.org/10.1016/j.revip.2019.100028
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1140/epjc/s10052-025-14069-1
Valeria Cimini, Mandar M. Sohoni, Federico Presutti, Benjamin K. Malia et al. • npj Quantum Information
(2026)
Abstract A Gaussian boson sampler (GBS) is a special-purpose quantum computer that can be practically realized at a large scale in optics. Here we report on experiments in which we used a frequency-multiplexed GBS with > 400 modes as a quan...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41534-026-01251-w
Xiaoxuan Pan, Zhide Lu, Weiting Wang, Ziyue Hua et al. • Nature Communications
(2023)
Abstract Deep learning and quantum computing have achieved dramatic progresses in recent years. The interplay between these two fast-growing fields gives rise to a new research frontier of quantum machine learning. In this work, we report a...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41467-023-39785-8
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s13321-025-00978-6
Vikas Hassija, Vinay Chamola, Adit Goyal, Salil S. Kanhere et al. • IET Quantum Communication
(2020)
We all have been using classical computers for a long time. Quantum computing uses the phenomena of quantum mechanics like superposition and entanglement. Quantum computations can help achieve for the breakthroughs we have been looking for ...
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cc-by-nc
DOI: https://doi.org/10.1049/iet-qtc.2020.0026
Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova • Machine Learning: Science and Technology
(2025)
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/adaca2
Ronald de Wolf • arXiv (Cornell University)
(2019)
This is a set of lecture notes suitable for a Master's course on quantum computation and information from the perspective of theoretical computer science. The first version was written in 2011, with many extensions and improvements in subse...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1907.09415