Research areas
The journal focuses on research that advances quantum computing, quantum artificial intelligence, quantum machine learning, and quantum natural language processing, and on the theory, algorithms, hardware, and evaluation methods that connect them.
Quantum Computing
Quantum algorithms, circuits, error correction, simulation, optimization, and quantum information theory.
Quantum AI
Hybrid quantum-classical models, quantum agents, reasoning, search, and the intersection of quantum information science with artificial intelligence.
Quantum Machine Learning
Quantum and quantum-inspired learning algorithms, variational models, kernels, embeddings, and the study of quantum advantage in learning.
Quantum NLP
Quantum and quantum-inspired approaches to natural language processing, representation, semantics, and language understanding.
Work that falls outside these areas is returned without review. If you are unsure whether your manuscript is in scope, write to editorial@qcaij.com before submitting.