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Academic Articles & Research Papers
Showing 20 of 188 academic articles
Andrea Scarciglia, Vincenzo Catrambone, Martina Bianco, Claudio Bonanno et al. • NeuroImage
(2024)
Functional magnetic resonance imaging (fMRI) is a powerful non-invasive method for studying brain function by analyzing blood oxygenation level-dependent (BOLD) signals. These signals arise from intricate interplays of deterministic and sto...
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Open Access (DOAJ)
DOI: 10.1016/j.neuroimage.2024.120562
Bishnu Patra, Rosario M. Incandela, Jeroen P. G. van Dijk, Harald Homulle et al. • IEEE Journal of Solid-State Circuits
(2017)
A fault-tolerant quantum computer with millions of quantum bits (qubits) requires massive yet very precise control electronics for the manipulation and readout of individual qubits. CMOS operating at cryogenic temperatures down to 4 K (cryo...
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Open Access
DOI: https://doi.org/10.1109/jssc.2017.2737549
Hajar Mujeeb Alkhalidy, Nushwan Yousif Baithoon Al-Nakash, Najma F.Fadail • NTU Journal of Engineering and Technology
(2026)
The fast growth of quantum computing puts widely used public-key cryptosystems like RSA and Elliptic Curve Cryptography (ECC) at risk because Shor's algorithm can quickly factor integers and find discrete logarithms. Grover’s algorithm simi...
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Open Access (DOAJ)
DOI: 10.56286/ecmf1169
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...
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Open Access (DOAJ)
DOI: 10.3390/e19090500
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...
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Open Access (DOAJ)
DOI: 10.1002/smb2.12021
Sascha Wilkens, Joe Moorhouse • Quantum Information Processing
(2023)
Abstract Quantum computing allows a significant speed-up over traditional CPU- and GPU-based algorithms when applied to particular mathematical challenges such as optimisation and simulation. Despite promising advances and extensive researc...
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DOI: https://doi.org/10.1007/s11128-022-03777-2
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...
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Open Access (DOAJ)
DOI: 10.1088/2632-2153/acb0b4
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...
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Open Access (DOAJ)
DOI: 10.3390/e28020156
Sergey V. Uchaikin, Boris I. Ivanov, Arjan F. van Loo, Yasunobu Nakamura et al. • Physical Sciences Forum
(2025)
We present the development of two complementary amplifier architectures for axion haloscope experiments, based on two types of Josephson Parametric Amplifiers (JPAs). The first employs a multi-chip module of flux-driven JPAs in a parallel–s...
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Open Access (DOAJ)
DOI: 10.3390/psf2025011005
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 ...
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Open Access (DOAJ)
DOI: 10.1038/s41598-026-60704-6
M. S. Godwin Premi, D. Susitra, Suja Cherukullapurath Mana, Ms. R. Velvizhi et al. (2025)
Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompa...
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Open Access
DOI: https://doi.org/10.47716/978-93-92090-62-2
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...
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Open Access (DOAJ)
DOI: 10.6180/jase.202701_36.052
Simon J. Devitt • Physical Review A
(2016)
Quantum computing technology has reached a second renaissance in the past five years. Increased interest from both the private and public sector combined with extraordinary theoretical and experimental progress has solidified this technolog...
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Open Access
DOI: https://doi.org/10.1103/physreva.94.032329
James Daniel Whitfield, Yang, Jun, Weishi Wang, Joshuah T. Heath et al. • arXiv (Cornell University)
(2022)
Quantum technology is full of figurative and literal noise obscuring its promise. In this overview, we will attempt to provide a sober assessment of the promise of quantum technology with a focus on computing. We provide a tour of quantum c...
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DOI: https://doi.org/10.48550/arxiv.2201.09877
Bujiao Wu, Dax Enshan Koh • npj Quantum Information
(2024)
Abstract Efficiently estimating fermionic Hamiltonian expectation values is vital for simulating various physical systems. Classical shadow (CS) algorithms offer a solution by reducing the number of quantum state copies needed, but noise in...
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Open Access (DOAJ)
DOI: 10.1038/s41534-024-00836-7
Robert Alicki, Michał Horodecki, Paweł Horodecki, Ryszard Horodecki • Physical Review A
(2002)
We develop a dynamical non-Markovian description of quantum computing in the weak-coupling limit, in the lowest-order approximation. We show that the long-range memory of the quantum reservoir (such as the ${1/t}^{4}$ one exhibited by elect...
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Open Access
DOI: https://doi.org/10.1103/physreva.65.062101
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...
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Open Access (DOAJ)
DOI: 10.3390/e22101175
Jun Fujisaki, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato et al. • Physical Review Research
(2023)
Efficient decoding to estimate error locations from outcomes of syndrome measurements is the prerequisite for quantum error correction. Decoding in the presence of circuit-level noise including measurement errors should be considered in cas...
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Open Access (DOAJ)
DOI: 10.1103/PhysRevResearch.5.043261
Tomoki KANDA, Hiroshi YABUNO • Mechanical Engineering Journal
(2026)
In quantum information processing, control of quantum entanglement is of central importance, particularly for applications in quantum computing. One established method for generating entanglement is squeezing, which exploits the uncertainty...
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Open Access (DOAJ)
DOI: 10.1299/mej.26-00260
Hocheol Lim, Hyeon-Nae Jeon, June-Koo Rhee, Byungdu Oh et al. • Scientific Reports
(2022)
Abstract Quantum computing is expected to play an important role in solving the problem of huge computational costs in various applications by utilizing the collective properties of quantum states, including superposition, interference, and...
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Open Access (DOAJ)
DOI: 10.1038/s41598-022-11537-6