Call for Papers - SQAI 2026

⚠️ IMPORTANT FORMAT NOTICE:
All submissions MUST follow the IEEE conference two-column format. Papers not conforming to this format will be automatically rejected. Please use the official IEEE templates linked below.
Quick Links
Overview | Important Dates | Submission Guidelines | IEEE Format Guidelines
Submit Paper (Opens Sept 1)

Submissions via OpenReview portal • See guidelines below

Quantum Computer Source: quantum.gov – QSA researchers work on the E8 experiment using ultracold atoms to study novel quantum phases of matter.

Overview

Quantum AI is the emerging field at the intersection of quantum computing and artificial intelligence, where quantum algorithms and hardware are leveraged to enhance the way intelligent systems learn, reason, and process information. It is more than just a technical fusion—it is a reimagination of how intelligence and computation may co-evolve in the quantum era.

We invite submissions of original research papers, demos, and workshop proposals in all areas related to Quantum Artificial Intelligence. Topics of interest include, but are not limited to:

Click on any category below to expand and see detailed topics
Quantum Computing Foundations
  • Quantum circuit design and optimization for AI applications
  • Quantum error correction and fault tolerance for AI systems
  • Quantum programming languages and frameworks for AI
  • Quantum hardware architectures optimized for AI workloads
  • Novel quantum gate designs for machine learning operations
  • Quantum memory management for AI applications
Quantum Machine Learning
  • Quantum neural networks and deep learning
  • Quantum support vector machines and kernel methods
  • Quantum principal component analysis and dimensionality reduction
  • Quantum Boltzmann machines and generative models
  • Quantum reinforcement learning algorithms
  • Quantum ensemble methods and decision trees
  • Quantum clustering and unsupervised learning techniques
  • Quantum transfer learning and domain adaptation
Quantum Optimization
  • Quantum annealing for optimization problems
  • Quantum approximate optimization algorithms (QAOA)
  • Variational quantum eigensolvers (VQE) for optimization
  • Quantum-enhanced gradient descent methods
  • Quantum-inspired classical optimization techniques
  • Hybrid quantum-classical optimization approaches
  • Quantum solutions for combinatorial optimization problems
Quantum Data Science
  • Quantum algorithms for big data processing
  • Quantum feature extraction and selection
  • Quantum data encoding techniques
  • Quantum recommendation systems
  • Quantum anomaly detection
  • Quantum data privacy and secure computation
  • Quantum database search and retrieval
Hybrid Systems and Integration
  • Hybrid quantum-classical algorithms and architectures
  • Quantum-classical interfaces for AI applications
  • Cloud-based quantum AI services
  • Distributed quantum AI systems
  • Heterogeneous computing models integrating quantum processors
  • Integration of quantum AI with conventional high-performance computing
Applications
  • Quantum AI for computational chemistry and materials science
  • Quantum AI for financial modeling and risk assessment
  • Quantum AI for logistics and supply chain optimization
  • Quantum AI for drug discovery and healthcare
  • Quantum AI for climate modeling and environmental sciences
  • Quantum AI for cryptography and security applications
  • Quantum AI for natural language processing
  • Quantum AI for computer vision and pattern recognition
Theoretical Foundations and Analysis
  • Quantum speedups for machine learning algorithms
  • Quantum computational complexity of AI tasks
  • Quantum information theory for AI
  • Quantum advantage thresholds in AI applications
  • Theoretical limits of quantum machine learning
  • Quantum entropy and information measures for learning
Benchmarking and Performance
  • Quantum AI benchmarks and performance metrics
  • Comparative analysis of quantum vs. classical AI approaches
  • Quantum advantage demonstration in specific AI tasks
  • Resource estimation for practical quantum AI applications
  • Experimental validation of quantum AI proposals
Ethical, Societal and Philosophical Implications
  • Ethical considerations in quantum AI development and deployment
  • Societal impacts of quantum AI technologies
  • Philosophical questions in quantum approaches to intelligence
  • Quantum AI governance and regulatory frameworks
  • Responsible innovation in quantum AI
  • Accessibility and democratization of quantum AI technologies

Whether you’re working on fundamental theory, practical applications, or novel frameworks that rethink the relationship between quantum computing and intelligent systems, we want to hear from you.


Important Dates

Submission Timeline

  • Call for Papers Opens: September 1, 2025
  • Submission Deadline: February 22, 2026
  • Notification of Acceptance: April 3, 2026
  • Camera-Ready Deadline: May 3, 2026

Review Process

  • Initial Format Check: Immediately after submission
  • Peer Review Period: Feb 23 - Mar 25, 2026
  • Final Decision: Apr 3, 2026
  • Conference Date: June 26–28, 2026
Note: Papers that do not conform to the IEEE format will not proceed to the peer review stage. Please ensure your submission follows all formatting requirements.

Submission Guidelines

Paper Length

  • Long papers: 8 pages + references
  • Short papers: 4 pages + references
  • Demos: 2 pages + references

Note: The page limits are strict and include all figures, tables, and appendices, but exclude references.

We welcome theoretical, applied, and exploratory contributions. All submissions will undergo a rigorous double-blind peer review process.

Ready to Submit Your Paper?

Please ensure your submission follows all the guidelines detailed above before submitting.

Submit via OpenReview (Opens Sept 1)

IEEE Format Guidelines

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Visual representation of IEEE two-column format

Your submission must follow the IEEE format requirements as shown in the templates.

Formatting Requirements

  1. Paper Size: US Letter (8.5” x 11”)
  2. Margins:
    • Top: 0.75”
    • Left and Right: 0.625”
    • Bottom: 1”
  3. Column Format: Two columns with 0.25” spacing between columns
  4. Font:
    • Main Text: 10pt Times New Roman
    • Title: 24pt Times New Roman, centered
    • Author Names: 11pt Times New Roman
    • Section Headings: 10pt, bold, all caps
    • Subsection Headings: 10pt, bold
  5. Line Spacing: Single-spaced throughout
  6. Page Numbering: Do not include page numbers
  7. Citations: IEEE citation style with numbered references

Common Formatting Issues to Avoid

  • Altering the margins or column widths
  • Using non-standard fonts or font sizes
  • Including headers or footers (except those specified by the template)
  • Excessive use of footnotes
  • Including author information in initial submission (for blind review)

LaTeX Tips

If using LaTeX, include these commands in your preamble:

\documentclass[conference]{IEEEtran}
\usepackage{cite}
\usepackage{amsmath,amssymb,amsfonts}
\usepackage{graphicx}
\usepackage{textcomp}
\usepackage{xcolor}

Frequently Asked Questions

Q: Can I modify the IEEE template to better suit my content?
A: No. The IEEE format must be strictly followed without modifications.

Q: Does the page limit include references?
A: No. References are excluded from the page limit.

Q: What happens if my submission doesn’t follow the IEEE format?
A: Submissions not following the IEEE format will be automatically rejected without review.

Q: My research topic doesn’t exactly fit into the listed categories. Can I still submit?
A: Absolutely! The topics listed are not exhaustive. We encourage submissions that explore novel intersections of quantum computing and AI, even if they don’t precisely match our listed topics. If your work involves quantum approaches to intelligence or AI techniques for quantum systems, it likely fits our scope.

Q: How can I check if my paper complies with the format?
A: Use the templates provided by IEEE and check against the following format verification list:

IEEE Format Verification Checklist










Download IEEE Templates
We look forward to your contributions to SQAI 2026!