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7 Results Found

  • Systematic Review
  • Open Access

Quantum Machine Learning: An Experimental Survey

  • Erasmo Rivas,
  • James Resto,
  • Luis Rodriguez,
  • Khalil Dajani and
  • Nabeel Alzahrani

12 November 2026

Quantum machine learning (QML) is advancing rapidly, yet it remains unclear which artificial intelligence (AI) capabilities benefit from quantum approaches, how strong the supporting evidence is, and whether reported gains justify claims of practical...

(This article belongs to the Special Issue The Integration of Quantum Computing with Artificial Intelligence)
  • Review
  • Open Access
796 Views
56 Pages

OSI Stack Redesign for Quantum Networks: Requirements, Technologies, Challenges, and Future Directions

  • Shakil Ahmed,
  • Yehia Osman,
  • Luke Cue,
  • Ibrahim Almazyad and ,
  • Nasser S. Albalawi,
  • Muhammad Kamran Saeed and
  • Ashfaq Khokhar
  • + 2 authors+ 0 author

8 September 2026

Quantum communication is emerging as a foundation for next-generation networks, offering unprecedented capabilities in security, entanglement-based connectivity, and distributed computation. However, the classical Open Systems Interconnection (OSI) m...

(This article belongs to the Special Issue Wireless Communication: Recent Advances in MIMO Systems and Networking)
  • Article
  • Open Access
75 Views
18 Pages

6 November 2026

This study examines the emerging technological trajectories in artificial intelligence (AI) paradigm: generative AI, agentic AI, and quantum AI. It aims to compare evolutionary growth shaping the overall AI technological system. A comparative sciento...

  • Article
  • Open Access
2 Citations
3,816 Views
58 Pages

Anthropic’s April 2026 Claude Mythos Preview release established a new operational threat category: frontier AI systems whose extended-context reasoning, recursive self-correction, native system-tool integration, and agentic scaffolding render...

  • Article
  • Open Access
3 Citations
1,082 Views
29 Pages

An Integrative Computational Pipeline for CK2 Inhibitor Discovery in Triple-Negative Breast Cancer Using Virtual Screening, Molecular Dynamics, Machine Learning, and Density Functional Theory

  • Abbas Khan,
  • Fahad M. Alshabrmi,
  • Anwar Mohammad,
  • Mohanad Shkoor and ,
  • Raed M. Al-Zoubi,
  • Long Chiau Ming and
  • Abdelali Agouni
  • + 2 authors+ 0 author

28 April 2026

Background: Triple-negative breast cancer (TNBC) remains among the most aggressive and therapeutically unresponsive subtypes due to the absence of ER, PR, and HER2 targets. Casein Kinase II (CK2), a pleiotropic serine/threonine kinase overexpressed i...

(This article belongs to the Special Issue Cancer Therapeutics: Drug Repurposing and Computational Strategies)
  • Article
  • Open Access
9 Citations
3,020 Views
19 Pages

18 July 2024

Grapevine rootstocks are gaining importance in viticulture as a strategy to combat abiotic challenges, as well as enhance scion physiology. Direct leaf-level physiological parameters like net assimilation rate, stomatal conductance to water vapor, qu...

  • Article
  • Open Access
546 Views
29 Pages

Background: Breast cancer remains a leading cause of cancer-related mortality, and reliable computational decision support is increasingly viewed as a complement to expert pathological assessment rather than a replacement for it. Variational quantum...

(This article belongs to the Special Issue AI for Precision Diagnostics: Enhancing Accuracy, Accessibility, and Outcomes)