Home »
Academic Articles & Research Papers
Showing 20 of 2,356 academic articles
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...
OPENALEX
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 ...
OPENALEX
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
Jiang Guo, Junichiro Shiomi • Next Energy
(2024)
Materials informatics has emerged as a powerful tool for the discovery, design, and optimization of materials with tailored thermal radiative properties. This perspective review highlights the recent advances in optimization algorithms, inc...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.nxener.2023.100078
Hyewon Park, Yohan Park • Mathematics
(2026)
Fog-based Vehicular Ad Hoc Networks (VANETs) support low-latency services by providing computing resources in close proximity to vehicles, but they also face security threats arising from Fog Node (FN) compromise and advances in quantum com...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math14193597
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
Jiawei Yong, Sihai Tang • Entropy
(2026)
Solving Bayesian inverse problems efficiently stands as a major bottleneck in scientific computing. Although Bayesian Physics-Informed Neural Networks (B-PINNs) have introduced a robust way to quantify uncertainty, the high-dimensional para...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e28020156
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...
OPENALEX
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
Sonwane Suchitra Shivaji Rao, K. Gangadhara Rao • Journal of Applied Science and Engineering
(2026)
Medical analytics based on multimodal intelligence are essential to contemporary healthcare, especially in the diagnosis and detection of liver cancer. However, low contrast, varied textures, and irregular tumor forms in medical imaging con...
DOAJ
Open Access (DOAJ)
DOI: 10.6180/jase.202701_36.052
Ke Wang, Xiantao Li • Quantum
(2024)
Models for open quantum systems, which play important roles in electron transport problems and quantum computing, must take into account the interaction of the quantum system with the surrounding environment. Although such models can be der...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2024-07-11-1407
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...
OPENALEX
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
Zhihui Song, Xin Zhou, Jinchen Xu, Xiaodong Ding et al. • Scientific Reports
(2024)
Abstract In recent years, deep learning has been widely used in vulnerability detection with remarkable results. These studies often apply natural language processing (NLP) technologies due to the natural similarity between code and languag...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-63021-y
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