Main Conference Papers
Full papers submitted via OpenReview for peer review, with camera-ready versions due after acceptance.
NLP/CORE Unranked
QNLPAI2026 2026
Quantum AI and NLP 2026 Conference
The Quantum AI 2026 Conference (QNLPAI 2026) brings together researchers from academia, industry, and government to explore the intersection of quantum computing and artificial intelligence, with a focus on three core areas: AI for Quantum Computing, Quantum Computing for AI, and Quantum Natural Language Processing (Q-NLP). The conference aims to foster interdisciplinary collaboration and advance practical applications in fields such as healthcare, cybersecurity, chemistry, and linguistics.
Key deadlines
Verified September 9, 2026Full paper
June 29, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
June 29, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Student Poster Session
Submissions include a 1-page abstract and a draft poster in PDF format, submitted via email.
Research areas in scope
01
AI for Quantum Computing
Reinforcement Learning for Quantum ComputingEvolutionary Algorithms in Quantum ComputingGenerative AI for Quantum ApplicationsMulti-Agent Learning for Quantum SystemsAI for Quantum Circuit and Architecture Optimization
02
Quantum Computing for AI
Quantum OptimizationQuantum Computer VisionQuantum-enhanced AI for CybersecurityQuantum Machine LearningQuantum-Native Machine LearningComplex-valued neural networks with phase-aware activationsTensor-network models that map cleanly to qubit layoutsTrustworthy Quantum Machine LearningQuantum Optimization AlgorithmsHybrid Quantum-Classical ComputingQuantum Architecture Design and SynthesisQuantum Circuit Optimization using AIApplications of Quantum AIQuantum Machine Learning OperationsDistributed Quantum Machine LearningPost-Quantum AI SecurityQuantum Foundation Models
03
Quantum Natural Language Processing (Q-NLP)
Categorical, compositional, diagrammatic QNLPPregroup grammars and category theory in QNLPLinguistic structure and quantum circuits in QNLPMeaning using quantum states, entanglement, and density matricesQuantum states and computation of natural language meaning (e.g., embeddings)Parsing and generation of natural language using quantum computingApplied domains like document classification, sentiment analysis, anaphora resolution, or emotion detectionLarge Language Models (LLMs) and quantum computingQuantum transformer architecturesQuantum Selective State Space Models for language generation
Policies worth checking twice
- Submissions must be made via OpenReview.
- Authors and reviewers must create an OpenReview profile at least two weeks before the submission deadline.
- Camera-ready papers must be submitted in LaTeX source or Word document format.
- Student poster submissions require a 1-page abstract and a PDF poster.
- Poster size must not exceed 24 inches wide by 36 inches high.
- The conference uses a double-blind review process (implied by OpenReview submission and no author names in guidelines).
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026