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Academic Articles & Research Papers
Showing 20 of 2,365 academic articles
Mario Coccia • Technology Analysis and Strategic Management
(2022)
This study develops a technology analysis to detect technological trajectories in quantum computing that can lay the foundation of a quantum industry. Study design considers data of 10,089 scientific products in ‘quantum computing’ over 198...
OPENALEX
DOI: https://doi.org/10.1080/09537325.2022.2110056
Austin G. Fowler, Kovid Goyal • Quantum Information and Computation
(2009)
The quantum computing scheme described by Raussendorf et. al (2007), when viewed as a cluster state computation, features a 3-D cluster state, novel adjustable strength error correction capable of correcting general errors through the corre...
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Open Access
DOI: https://doi.org/10.26421/qic9.9-10-1
P. L. Knight • Quantum Electronics and Laser Science Conference
(2003)
Summary form only given. Quantum mechanics offers the information scientist a new rich resource, which is only recently being tapped to allow for secure communication in the form of quantum cryptography, and for tremendous parallelism in qu...
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DOI: https://doi.org/10.1109/qels.1999.807126
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
Jonas Schupp, Marco Gianvecchio, Alessandro Barenghi, Patrick Karl et al. • Transactions on Cryptographic Hardware and Embedded Systems
(2026)
Post-quantum cryptosystems are currently attracting significant research efforts due to the continuous improvements in quantum computing technologies, which led the National Institute of Standards and Technology (NIST) to open standardizati...
DOAJ
Open Access (DOAJ)
DOI: 10.46586/tches.v2026.i3.224-246
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
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
Robert Campbell • The Journal of The British Blockchain Association
(2019)
This research has two parts; the first is to identify enterprise Hyperledger Fabric (HLF) blockchain cybersecurity vulnerabilities, threats, and legal obligations in a Post-Quantum Cryptography (PQC) world. HLF is a permissioned blockchain ...
DOAJ
Open Access (DOAJ)
DOI: 10.31585/jbba-2-2-(4)2019
Ben Haylock, Daniel Peace, Francesco Lenzini, Christian Weedbrook et al. • Quantum
(2019)
Fast secure random number generation is essential for high-speed encrypted communication, and is the backbone of information security. Generation of truly random numbers depends on the intrinsic randomness of the process used and is usually...
DOAJ
Open Access (DOAJ)
DOI: 10.22331/q-2019-05-13-141
David G. Cory, Amr F. Fahmy, Timothy F. Havel • Proceedings of the National Academy of Sciences
(1997)
A quantum computer (QC) can operate in parallel on all its possible inputs at once, but the amount of information that can be extracted from the result is limited by the phenomenon of wave function collapse. We present a new computational m...
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Open Access
DOI: https://doi.org/10.1073/pnas.94.5.1634
PMC: 19968
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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cc-by
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...
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
Fengsheng Zeng, Bahari Idrus, Mohammad Faidzul Nasrudin, Eddie Shahril Ismail • Sensors
(2026)
With the rapid advancement of quantum computing technology, IoT edge devices widely deployed in industrial settings are facing severe threats to their quantum-resistant security. This work focuses on the challenges of adapting Quantum Key D...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s26185859
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
Urmila Pilania, Manoj Kumar, Sanjay Singh, Subhash Chandra et al. • Advances in computational intelligence and robotics book series
(2025)
Quantum computing is an emerging field that utilizes quantum mechanics to process information in ways other than classical computers. First, this chapter provides an overview of the fundamental definitions and concepts for quantum computing...
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DOI: https://doi.org/10.4018/979-8-3373-1419-8.ch011
Jozef Gruska • Wiley eBooks
(2009)
Abstract This article presents very basic concepts concerning quantum information processing and deals with the main areas of quantum computation: quantum algorithms, quantum automata, quantum computational complexity, and quantum error‐cor...
OPENALEX
DOI: https://doi.org/10.1002/9780470050118.ecse720
WANG Dingyu, ZHANG Fan, WANG Junchao, CAO Yan • Jisuanji gongcheng
(2026)
The smart grid is a critical infrastructure in the modern energy system that couples cyberspace with physical operation processes, and it has become a key pillar of national energy security. With the widespread use of massive heterogeneous ...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0260693