Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Lecture notes in electrical engineering

Quantum AI Enhanced Blockchain Security for Drug Discovery

Don Roosan, Tiffany Khou, Brian Pham, Yawen Li, Md Rahatul Ashakin, Hasiba Mahshed Khan, Rubayat Islam Khan, Mohammed Rifat Haider

Published Jan 1, 2026• 6 citations
Publisher
DOI
10.1007/978-981-95-0887-7_1

Related papers

Small Molecule Drug Discovery Enhanced by Quantum AI

Mazharul Karim, Nuruzzaman Sojib, Md Zahirul Islam Khan +1 more

Springer eBooks•Jan 1, 2026•0 citations

Quantum-AI Convergence: Redefining the Epistemology of Computational Drug Discovery

Saif Salah Tahlak, Jawad Mohammed Naimat, Zainab Rasheed +1 more

Technology and Innovation Conference (TIC)•Jun 1, 2026•0 citations

Quantum-Enhanced Drug Discovery Using HybridAI and Quantum Computing for Molecular Property Prediction and Virtual Screening

Sujithkumar K., Abirami K.

International Conference on Interdisciplinary Research in Science, Engineering, and Technology•Jan 1, 2025•0 citations

Quantum AI and its Applications in Blockchain Technology

Advances in computational intelligence and robotics book series•Dec 31, 2024•0 citations

Quantum Synergies: Revolutionizing Security, Blockchain, and Biomedical Science with AI

Murali Krishna Pasupuleti

Abstract: This chapter delves into the transformative synergies between quantum computing, artificial intelligence (AI), and blockchain technology, focusing on their revolutionary impact on security, decentralized systems, and biomedical science. Quantum computing’s unparalleled computational power, combined with AI’s predictive analytics, enhances data security through quantum-resistant cryptography and advanced threat detection systems. In blockchain, the integration of quantum and AI optimizes scalability, improves transaction efficiency, and fortifies decentralized networks against quantum attacks. In biomedical science, these technologies accelerate drug discovery, enable precise genomic analysis, and enhance personalized medicine through AI-driven insights and quantum simulations. The chapter also addresses key challenges such as data privacy, ethical considerations, and scalability issues, while showcasing real-world applications and success stories in industries like healthcare, finance, and IoT. It concludes with a forward-looking perspective on fostering interdisciplinary collaboration and innovation to harness these quantum synergies for global societal benefit. Keywords Quantum computing, artificial intelligence, blockchain, quantum cryptography, decentralized systems, data security, AI-driven analytics, biomedical science, drug discovery, personalized medicine, quantum-resistant blockchain, genomic analysis, quantum simulations, interdisciplinary collaboration, innovation.

•Dec 1, 2024•0 citations

Quantum intelligence in drug discovery: Advancing insights with quantum machine learning

Danishuddin, Md Azizul Haque, Vikas Kumar +2 more

Drug Discovery Today•Sep 2, 2025•15 citations
Abstract: This chapter delves into the transformative synergies between quantum computing, artificial intelligence (AI), and blockchain technology, focusing on their revolutionary impact on security, decentralized systems, and biomedical science. Quantum computing’s unparalleled computational power, combined with AI’s predictive analytics, enhances data security through quantum-resistant cryptography and advanced threat detection systems. In blockchain, the integration of quantum and AI optimizes scalability, improves transaction efficiency, and fortifies decentralized networks against quantum attacks. In biomedical science, these technologies accelerate drug discovery, enable precise genomic analysis, and enhance personalized medicine through AI-driven insights and quantum simulations. The chapter also addresses key challenges such as data privacy, ethical considerations, and scalability issues, while showcasing real-world applications and success stories in industries like healthcare, finance, and IoT. It concludes with a forward-looking perspective on fostering interdisciplinary collaboration and innovation to harness these quantum synergies for global societal benefit. Keywords Quantum computing, artificial intelligence, blockchain, quantum cryptography, decentralized systems, data security, AI-driven analytics, biomedical science, drug discovery, personalized medicine, quantum-resistant blockchain, genomic analysis, quantum simulations, interdisciplinary collaboration, innovation.