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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...
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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...
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DOI: 10.6180/jase.202701_36.052
Martin Andersson, Mark Jones, Kurt Valentin Mikkelsen, Fengqi You et al. • Current Opinion in Chemical Engineering
(2021)
Chemical process design has for long been benefiting from computer-aided methods and tools to develop new processes and services that can meet the needs of society. Chemical and biomolecular product design could also benefit from the use of...
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DOI: https://doi.org/10.1016/j.coche.2021.100754
Yifei Yang • Frontiers in Physics
(2025)
Its complexity constrains advancements in fusion energy and high energy applications driven by plasma physics, multiscale phenomena beyond classical computing limits. These transformative solutions, especially in plasma simulations, for whi...
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DOI: 10.3389/fphy.2025.1551209
Makhabbat Bakyt, Luigi La Spada, Nida Zeeshan, Khuralay Moldamurat et al. • Applied Sciences
(2025)
Ensuring secure data transmission in agrotechnical monitoring systems using unmanned aerial vehicles (UAVs) is critical due to increasing cyber threats, particularly with the advent of quantum computing. This study proposes the integration ...
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Open Access (DOAJ)
DOI: 10.3390/app15052429
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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DOI: 10.22034/jipm.2025.728344
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
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...
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DOI: 10.1038/s41598-024-63021-y
Shihui Zhang, Zibo Miao, Yu Pan, Sibo Tao et al. • npj Quantum Information
(2025)
Abstract Achieving high-fidelity quantum gates is crucial for reliable quantum computing. However, decoherence and control pulse imperfections pose significant challenges in realizing the theoretical fidelity of quantum gates in practical s...
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DOI: 10.1038/s41534-025-01034-9
George Jorjadze, Stefan Theisen • Journal of High Energy Physics
(2021)
Abstract The S-matrix for each chiral sector of Liouville theory on a cylinder is computed from the loop expansion of correlation functions of a one-dimensional field theory on a circle with a non-local kinetic energy and an exponential pot...
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DOI: 10.1007/JHEP02(2021)111
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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DOI: 10.1038/s41598-022-11537-6
Thomas Spriggs, Arash Ahmadi, Bokai Chen, Eliska Greplova • Machine Learning: Science and Technology
(2025)
Variational techniques have long been at the heart of atomic, solid-state, and many-body physics. They have recently extended to quantum and classical machine learning, providing a basis for representing quantum states via neural networks. ...
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DOI: 10.1088/2632-2153/adaca2
Jun Yang, James Brown, James Daniel Whitfield • Frontiers in Physics
(2021)
Quantum algorithms are touted as a way around some classically intractable problems such as the simulation of quantum mechanics. At the end of all quantum algorithms is a quantum measurement whereby classical data is extracted and utilized....
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Open Access (DOAJ)
DOI: 10.3389/fphy.2021.546538
Pauline J. Ollitrault, Alexander Miessen, Ivano Tavernelli • Accounts of Chemical Research
(2021)
ConspectusSimulating molecular dynamics (MD) within a comprehensive quantum framework has been a long-standing challenge in computational chemistry. An exponential scaling of computational cost renders solving the time dependent Schrödinger...
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DOI: https://doi.org/10.1021/acs.accounts.1c00514
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
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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DOI: https://doi.org/10.48175/ijarsct-15955
Gabriele Amante, Judit E. Sponer, Jiri Sponer, Franz Saija et al. • Entropy
(2022)
The search for the chemical origins of life represents a long-standing and continuously debated enigma. Despite its exceptional complexity, in the last decades the field has experienced a revival, also owing to the exponential growth of the...
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DOI: 10.3390/e24081012
Tuna Hacaloglu, Hassan Soubra, Pierre Bourque, Alain Abran • IEEE Access
(2026)
Rapid growth in quantum computing has created an urgent need to adapt traditional software engineering methodologies. Among these methodological challenges, software size measurement plays a central role in project estimation, quality assur...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3700957
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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DOI: https://doi.org/10.59231/SARI7840
Bhupesh Rawat, Nidhi Mehra, Ankur Singh Bist, Muhamad Yusup et al. • ADI Journal on Recent Innovation (AJRI)
(2022)
Quantum computing is one of the emerging technologies. Different communities and research organizations are working to bring quantum computing applications into reality. Artificial Intelligence is another emerging area and getting stable wi...
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DOI: https://doi.org/10.34306/ajri.v3i2.656