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

Journal of Scientometric Research

How Scientific and Technological Interaction Accelerates Co-Evolution of Artificial Intelligence and Quantum Systems

Mario Coccia

Published Aug 13, 2026• 0 citations
Publisher
DOI
10.5530/jscires.20260011

Related papers

Evolution of Artificial Intelligence and Quantum Computing

Smriti Mangalaprasad Dubey, Komal Kiran Jambhale, Raashid Mehmood Hasan Shaikh +1 more

Springer eBooks•Jan 1, 2025•3 citations

Quantum Genesis: Redefining Humanity, Technology, and the Future by 2100

Murali Krishna Pasupuleti

Abstract: The rise of quantum technology is set to redefine humanity, intelligence, and global civilization by 2100. This chapter explores how quantum computing, quantum artificial intelligence (QAI), and quantum cryptography will revolutionize industries, geopolitics, and scientific discovery. As quantum AI surpasses classical computing, it will unlock self-learning intelligence, breakthroughs in medicine, finance, and space exploration, and the potential for human-machine integration and neural augmentation. However, the rapid acceleration of quantum advancements also presents existential risks, from autonomous quantum warfare to loss of human control over artificial superintelligence (ASI). The chapter examines the ethical dilemmas of post-quantum civilization, exploring whether quantum technology will lead to a post-scarcity utopia or an unprecedented existential crisis. By analyzing the technological, philosophical, and societal implications of the quantum revolution, this chapter presents a future-forward roadmap for ensuring that quantum intelligence remains aligned with human progress, ethics, and sustainability. Keywords: Quantum computing, quantum AI, artificial superintelligence, QAI, neuromorphic computing, post-quantum cryptography, quantum singularity, human-machine integration, quantum biotechnology, post-scarcity economy, quantum-driven civilization, quantum cosmology, quantum warfare, AI ethics, post-human intelligence, existential risks, future of intelligence, interstellar expansion, self-learning AI, neural augmentation.

•Feb 21, 2025•0 citations

Quantum Computing and Information Technology in the Era of Artificial Intelligence - A Study in urban areas

Dr.Y.Venkata Rani

Quantum computing represents a transformative shift from classical computational paradigms by utilizing quantum mechanical principles such as superposition, entanglement, and quantum interference.In the era of Artificial Intelligence (AI), the integration of quantum computing with information technology opens new possibilities for solving complex computational problems beyond the capabilities of traditional systems.This paper explores the conceptual foundations of quantum computing and its convergence with AI-driven information technologies.It examines how quantum algorithms enhance machine learning efficiency, optimize large-scale data processing, and strengthen cybersecurity through quantum cryptography.Furthermore, the study discusses current technological challenges including hardware instability, error correction, scalability issues, and the need for interdisciplinary expertise.Using analytical and secondary data sources, the paper evaluates emerging applications in healthcare, finance, communication networks, and scientific simulations.The research concludes that quantum-AI integration will redefine computational intelligence, enabling faster decision-making and innovative technological solutions.The study highlights future research directions and emphasizes the importance of national-level academic collaboration to accelerate quantum technology adoption.

INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS•Jan 1, 2026•0 citations

Quantum Computing and Artificial Intelligence: A Convergence for Future Innovations

Fatma Foad Ashrif, Rami Ahmad, Faiza A. M. Mansour

Studies in computational intelligence•Jan 1, 2026•1 citation

SYNERGY OF ARTIFICIAL INTELLIGENCE AND QUANTUM COMPUTING

Д.Т. Мухамедиева

The article examines theoretical and applied aspects of integrating artificial intelligence with quantum computing technologies, forming a new direction – quantum artificial intelligence. It is shown that quantum algorithms have the potential for exponential acceleration of computations in optimization problems, data analysis, machine learning, and image processing. Special attention is given to hybrid quantum-classical approaches demonstrating effectiveness in specific scientific and engineering problems such as catalyst selection and image clustering. Examples of quantum modeling of combinatorial problems and their transformation into quadratic binary programming formalism are presented. It is emphasized that quantum artificial intelligence is not a theoretical abstraction but a practically implementable technology with high potential in the era of NISQ computers

Problems of Artificial Intelligence and Machine Learning•Sep 26, 2025•0 citations

The Future of Artificial Intelligence by means of Quantum Computing

Thomas Kristan

•Jan 1, 2020•0 citations
Abstract: The rise of quantum technology is set to redefine humanity, intelligence, and global civilization by 2100. This chapter explores how quantum computing, quantum artificial intelligence (QAI), and quantum cryptography will revolutionize industries, geopolitics, and scientific discovery. As quantum AI surpasses classical computing, it will unlock self-learning intelligence, breakthroughs in medicine, finance, and space exploration, and the potential for human-machine integration and neural augmentation. However, the rapid acceleration of quantum advancements also presents existential risks, from autonomous quantum warfare to loss of human control over artificial superintelligence (ASI). The chapter examines the ethical dilemmas of post-quantum civilization, exploring whether quantum technology will lead to a post-scarcity utopia or an unprecedented existential crisis. By analyzing the technological, philosophical, and societal implications of the quantum revolution, this chapter presents a future-forward roadmap for ensuring that quantum intelligence remains aligned with human progress, ethics, and sustainability. Keywords: Quantum computing, quantum AI, artificial superintelligence, QAI, neuromorphic computing, post-quantum cryptography, quantum singularity, human-machine integration, quantum biotechnology, post-scarcity economy, quantum-driven civilization, quantum cosmology, quantum warfare, AI ethics, post-human intelligence, existential risks, future of intelligence, interstellar expansion, self-learning AI, neural augmentation.
Quantum computing represents a transformative shift from classical computational paradigms by utilizing quantum mechanical principles such as superposition, entanglement, and quantum interference.In the era of Artificial Intelligence (AI), the integration of quantum computing with information technology opens new possibilities for solving complex computational problems beyond the capabilities of traditional systems.This paper explores the conceptual foundations of quantum computing and its convergence with AI-driven information technologies.It examines how quantum algorithms enhance machine learning efficiency, optimize large-scale data processing, and strengthen cybersecurity through quantum cryptography.Furthermore, the study discusses current technological challenges including hardware instability, error correction, scalability issues, and the need for interdisciplinary expertise.Using analytical and secondary data sources, the paper evaluates emerging applications in healthcare, finance, communication networks, and scientific simulations.The research concludes that quantum-AI integration will redefine computational intelligence, enabling faster decision-making and innovative technological solutions.The study highlights future research directions and emphasizes the importance of national-level academic collaboration to accelerate quantum technology adoption.
The article examines theoretical and applied aspects of integrating artificial intelligence with quantum computing technologies, forming a new direction – quantum artificial intelligence. It is shown that quantum algorithms have the potential for exponential acceleration of computations in optimization problems, data analysis, machine learning, and image processing. Special attention is given to hybrid quantum-classical approaches demonstrating effectiveness in specific scientific and engineering problems such as catalyst selection and image clustering. Examples of quantum modeling of combinatorial problems and their transformation into quadratic binary programming formalism are presented. It is emphasized that quantum artificial intelligence is not a theoretical abstraction but a practically implementable technology with high potential in the era of NISQ computers