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Leena Sameer Baddour, Haider Hadi Abbas, Kozhobekov Kudaiberdi Gaparalievich, Mohammed K. H. Al-Dulaimi et al. • Iranian Journal of Information Processing & Management
(2025)
ABSTRACTBackground: Quantum computing has posed a profound threat to the classical cryptographic systems as it is advancing at an exponential rate with the help of quantum algorithms like Shor’s and Grover’s which can easily decipher the Ri...
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Open Access (DOAJ)
DOI: 10.22034/jipm.2025.728344
Jackson R. Badger, Yundi Quan, Matthew C. Staab, Shuntaro Sumita et al. • Communications Physics
(2022)
Topological superconducting systems are expected to exhibit a range of exotic physics which are particularly useful for application in quantum computing technologies. Here, the authors report the synthesis of LaNiGa2 which exhibits both top...
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Open Access (DOAJ)
DOI: 10.1038/s42005-021-00771-5
Jie-Yin Zhang, Fang-Ze Liu, Ming Ming, Liang-Xin Liao et al. • APL Materials
(2026)
Si/SiGe heterostructures play pivotal roles in both gate-all-around technology for integrated circuits and spin qubits for quantum computing. Here, we report dislocation-free Si/SiGe heterostructures grown via molecular beam epitaxy on stra...
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Open Access (DOAJ)
DOI: 10.1063/5.0334357
Yuanbo GUO, Anqi YIN • Tongxin xuebao
(2022)
With the rapid development of quantum computing technology, password-authenticated key exchange (PAKE) protocol based on conventional difficult problems will face serious security threats in the post-quantum era.Lattice-based cryptosystem h...
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Open Access (DOAJ)
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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DOI: https://doi.org/10.1016/j.revip.2019.100028
He Shanshan, Wang Ruisi, Luo Hailu • Nanophotonics
(2022)
Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions. Rapid progress...
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Open Access (DOAJ)
DOI: 10.1515/nanoph-2021-0823
Frank Phillipson • Mathematics
(2023)
Quantum computing, an emerging paradigm based on the principles of quantum mechanics, has the potential to revolutionise various industries, including Telecommunications. This paper explores the transformative impact of quantum computing on...
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DOI: https://doi.org/10.3390/math11153423
Alberto Baiardi, Matthias Christandl, Markus Reiher • ChemBioChem
(2023)
Molecular biology and biochemistry interpret microscopic processes in the living world in terms of molecular structures and their interactions, which are quantum mechanical by their very nature. Whereas the theoretical foundations of these ...
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DOI: https://doi.org/10.1002/cbic.202300120
Babu Ram Sankhi, Erwan Peigney, Hayden Brown, Pius Suh et al. • AIP Advances
(2025)
Single-molecule magnets (SMMs) are pivotal in molecular spintronics, showing unique quantum behaviors that can advance spin-based technologies. By incorporating SMMs into magnetic tunnel junctions (MTJs), new possibilities emerge for low-po...
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Open Access (DOAJ)
DOI: 10.1063/9.0000868
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
J. Lehmann, Alejandro Gaita‐Ariño, Eugenio Coronado, Daniel Loss • Journal of Materials Chemistry
(2008)
Molecular spintronics promises to combine the flexibility offered by synthetic chemistry with the advantages of an electronics which is based on the electron spin rather than its charge degree of freedom. Here, we review recent work on the ...
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DOI: https://doi.org/10.1039/b810634g
Mark E. Saffman • National Science Review
(2018)
The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...
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DOI: https://doi.org/10.1093/nsr/nwy088
PMC: 8291449
Siddhartha Kasivajhula • ACM Southeast Regional Conference (ACMSE)
(2006)
Computers today become faster by becoming smaller. By reducing the size of transistors, engineers are able to fit more of them on a given size microprocessor, thus increasing the processor's computational power. This process cannot continue...
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DOI: https://doi.org/10.1145/1185448.1185504
Eric C. Rowell, Zhenghan Wang • Bulletin of the American Mathematical Society
(2018)
In topological quantum computing, information is encoded in “knotted” quantum states of topological phases of matter, thus being locked into topology to prevent decay. Topological precision has been confirmed in quantum Hall liquids by expe...
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Open Access
DOI: https://doi.org/10.1090/bull/1605
R Vinutha, V Haripriya • International Journal of Advanced Research in Science Communication and Technology
(2024)
In order to solve challenging optimization issues, analyze data effectively, and improve the capabilities of current machine learning algorithms, quantum computing has the potential to revolutionize the area of machine learning. The propose...
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Open Access
DOI: https://doi.org/10.48175/ijarsct-15955
Shuai-Peng Wang, Alberto Mercurio, Alessandro Ridolfo, Yuqing Wang et al. • Nature Communications
(2025)
Abstract The realization of strong nonlinear coupling between single photons has been a long-standing goal in quantum optics and quantum information science, promising wide impact applications, such as all-optical deterministic quantum logi...
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Open Access (DOAJ)
DOI: 10.1038/s41467-025-63783-7
Wenhui Xu, Tiangui You, Yibo Wang, Zhenghao Shen et al. • Fundamental Research
(2021)
The semiconductor, β-Ga2O3 is attractive for applications in high power electronic devices with low conduction loss due to its ultra-wide bandgap (∼4.9 eV) and large Baliga's figure of merit. However, the thermal conductivity of β-Ga2O3 is ...
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Open Access (DOAJ)
DOI: 10.1016/j.fmre.2021.11.003
Raviraju Balappa D, Gautam Kumar Rajput • Shodh Sari
(2025)
Matrices are foundational to artificial intelligence (AI), serving as critical tools for data representation, manipulation, and transformation across various applications. From machine learning algorithms to neural network architectures, ma...
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Open Access (DOAJ)
DOI: https://doi.org/10.59231/SARI7840
Alberto Di Meglio, Karl Jansen, Ivano Tavernelli, Constantia Alexandrou et al. • PRX Quantum
(2024)
Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage—namely, a significant (in some cases exponential) speedup o...
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DOI: https://doi.org/10.1103/prxquantum.5.037001
Hongbin Liu, Guang Hao Low, Damian S. Steiger, Thomas Häner et al. • Materials Theory
(2022)
Abstract Molecular science is governed by the dynamics of electrons and atomic nuclei, and by their interactions with electromagnetic fields. A faithful physicochemical understanding of these processes is crucial for the design and synthesi...
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DOI: https://doi.org/10.1186/s41313-021-00039-z