Showing 20 of 950 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
Paul L. J. Helgers, James A. H. Stotz, Haruki Sanada, Yoji Kunihashi et al. • Nature Communications
(2022)
Spin qubits are a platform for quantum computing. There are many advantages for quantum information processing if the spin qubit can move. Here, Helgers et al. use a surface acoustic wave to define a moving quantum dot and demonstrate the m...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41467-022-32807-x
Jonathan Schrock, Alex J. McCaskey, Kathleen E. Hamilton, Travis S. Humble et al. • Entropy
(2017)
A content-addressable memory (CAM) stores key-value associations such that the key is recalled by providing its associated value. While CAM recall is traditionally performed using recurrent neural network models, we show how to solve this p...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e19090500
Yukio-Pegio Gunji, Kyoko Nakamura, Kazuto Sasai, Iori Tani et al. • Entropy
(2026)
Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e28050498
Amna Ikram, Azhar Imran • Informatics in Medicine Unlocked
(2026)
Diabetic Retinopathy (DR) is a major complication of diabetes that can result in irreversible vision loss if not detected early. Manual ophthalmologic screening is time-consuming and subject to subjectivity, underscoring the need for accura...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.imu.2026.101744
Kelvin Leong, Anna Sung • Journal of Interdisciplinary Sciences
(2022)
Business management requires rapid reactions to the changes of business environment
effectively. Given quantum computing’s game-changing power will bring huge transformation,
therefore managers should be aware of how to take the advantage...
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Open Access (DOAJ)
Diogo A. Gálico, Emille M. Rodrigues, Ilias Halimi, Juho Toivola et al. • Nature Communications
(2024)
Abstract Molecular systems known as single-molecule magnets (SMMs) exhibit magnet-like behaviour of slow relaxation of the magnetisation and magnetic hysteresis and have potential application in high-density memory storage or quantum comput...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41467-024-47682-x
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
Atiye Zeynali, Zahra Bakhshi • Scientific Reports
(2026)
Abstract Simulating open quantum system dynamics via exact density-matrix propagation faces exponential complexity, scaling as $$\mathcal{O}(4^n)$$ and becoming intractable beyond approximately 15 chromophores on classical hardware—despite ...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-60704-6
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
Maxwell Aifer, Sebastian Deffner • New Journal of Physics
(2022)
While recent breakthroughs in quantum computing promise the nascence of the quantum information age, quantum states remain delicate to control. Moreover, the required energy budget for large scale quantum applications has only sparely been ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ac6821
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
Kevin Pack, Shai Machnes, Frank K Wilhelm • New Journal of Physics
(2026)
We present the results of a comprehensive study of optimization algorithms for the calibration of quantum devices. As part of our ongoing efforts to automate bring-up, tune-up, and system identification procedures, we investigate a broad ra...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/1367-2630/ae6c54
Wenhui Luo, Olivia Chen, Nobuyuki Yoshikawa, Naoki Takeuchi • Scientific Reports
(2022)
Abstract Alternative computing such as stochastic computing and bio-inspired computing holds promise for overcoming the limitations of von Neumann computers. However, one difficulty in the implementation of such alternative computing is the...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-022-24230-5
Yapeng Wang, Yongcheng Ding, Jianan Wang, Xi Chen • Entropy
(2020)
Geometric phases are used to construct quantum gates since it naturally resists local noises, acting as the modularized units of geometric quantum computing. Meanwhile, fast nonadiabatic geometric gates are required for reducing the informa...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/e22101175
Meng‐Cheng Yen, Yung‐Chi Yao, Chia‐Jung Lee, Shi‐Hui Huang et al. • Advanced Science
(2025)
Abstract This study demonstrates that optical absorption of the CsPbBr3 quantum dots can be significantly enhanced through monolithic integration with the Tamm plasmon (TP) structure. This integration enables the resulting TP photodetector ...
DOAJ
Open Access (DOAJ)
DOI: 10.1002/advs.202503464
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
Himanshu Sahu, Kallol Sen • Scientific Reports
(2024)
Abstract In quantum computing, the quantum walk search algorithm is designed for locating fixed marked nodes within a graph. However, when multiple marked nodes exist, the conventional search algorithm lacks the capacity to simultaneously a...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-024-51709-0
Jieshan Huang, Xudong Li, Xiaojiong Chen, Chonghao Zhai et al. • Nature Communications
(2024)
Abstract Complex entangled states are the key resources for measurement-based quantum computations, which is realised by performing a sequence of measurements on initially entangled qubits. Executable quantum algorithms in the graph-state q...
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Open Access (DOAJ)
DOI: 10.1038/s41467-024-46830-7