About the Journal
About Us
The Quantum Intelligence Journal (QI Journal) is a peer-reviewed, open-access international journal dedicated to advancing the frontiers of research at the nexus of quantum computing, artificial intelligence, machine learning, and computational intelligence. Our goal is to provide a high-visibility platform for researchers, engineers, theoreticians, and interdisciplinary innovators worldwide to publish original research, comprehensive reviews, technical reports, and visionary perspectives — thereby propelling the development and real-world application of quantum-enhanced intelligence systems.
QI Journal firmly believes in scientific excellence, transparency, and collaborative growth. Every submission undergoes rigorous peer review by experts in relevant domains. On acceptance, articles are published online under an open-access model, ensuring broad dissemination and accessibility to the global research community.
Aims & Scope
QI Journal welcomes contributions covering, but not limited to the following research areas:
Quantum Machine Learning & Quantum AI
-
Development of quantum algorithms for supervised, unsupervised, reinforcement, or hybrid learning.
-
Quantum neural networks, quantum support vector machines, quantum clustering, and other quantum-enhanced learning models.
-
Comparative analysis of classical vs quantum-based approaches.
-
Quantum feature encoding, data embedding, and quantum data preprocessing.
Quantum Algorithms & Quantum Computing Theory
-
Design, analysis, and optimization of quantum algorithms with AI relevance (e.g. quantum optimization, search, sampling, variational algorithms).
-
Quantum complexity theory, resource analysis (qubits, gates, error rates), and benchmarking.
-
Hybrid classical–quantum architectures, quantum-classical co-processing, and simulation frameworks.
AI-Driven Quantum Systems & Applications
-
Implementation of quantum-enhanced AI systems in real-world domains: cryptography, finance, big data analytics, drug discovery, materials science, logistics, energy, etc.
-
Use of quantum computing to accelerate AI tasks such as optimization, simulation, pattern recognition, big-data processing.
-
Interdisciplinary applications spanning computational physics, computational biology, computational chemistry, data science, and more.
Reviews, Surveys & Position Papers
-
Comprehensive reviews of quantum-AI literature, roadmaps, and emerging trends.
-
Surveys on quantum hardware, software frameworks, noise mitigation, error correction, and its impact on AI performance.
-
Position papers, perspectives, and critical discussions on ethical, practical, and societal implications of quantum-driven AI.
Our Commitments & Editorial Principles
-
Scientific Rigor & Integrity: Every article is evaluated through a stringent peer-review process, ensuring methodological soundness, reproducibility, and clarity.
-
Open Access & Visibility: All published works are freely accessible worldwide, under an open-access license, maximizing the reach and impact of contributors’ work.
-
Interdisciplinary & Inclusive: We welcome submissions from quantum physicists, computer scientists, AI researchers, engineers, applied mathematicians, data scientists, and domain-specific experts.
-
Innovation & Future-Oriented Vision: QI Journal aims to support not only incremental advances but also bold, visionary research that pushes the boundaries of what is possible with quantum-empowered intelligence.
-
Global Collaboration: Encouraging international collaboration, cross-disciplinary teams, and contributions from underrepresented regions to foster a truly global research community.
Why Publish with QI Journal
-
Rapid, high-visibility dissemination: Open-access online publication ensures your work reaches researchers worldwide without barriers.
-
Cross-disciplinary exposure: Authors benefit from visibility across quantum computing, AI/ML, computational sciences and application domains.
-
Supporting the emerging field: With quantum AI being a rapidly evolving frontier — publishing in QI Journal positions you at the forefront of this transformation.
-
Ethical and transparent peer review: We commit to fair, constructive, and timely peer review, with clear author feedback and transparent editorial practices.
