Hybrid Conferencee

International Conference on Quantum Computing and Artificial Intelligence (ICQCAI - 26)

26th - 27th September 2026 | Rio de Janeiro, Brazil

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Rio de Janeiro. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Rio de Janeiro event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Rio de Janeiro conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Rio de Janeiro, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Rio de Janeiro."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Quantum Algorithms for AI

This track focuses on the development and application of quantum algorithms specifically designed for artificial intelligence tasks. Researchers are invited to explore how quantum computing can enhance machine learning and data processing capabilities.

Track 02

Deep Learning in Quantum Environments

This session will delve into the integration of deep learning techniques within quantum computing frameworks. Participants will discuss the implications and advancements of deep learning models when applied to quantum data.

Track 03

AI Applications in Quantum Systems

This track aims to showcase innovative applications of artificial intelligence in quantum systems. Contributions will highlight real-world use cases and the transformative potential of AI in enhancing quantum technologies.

Track 04

Predictive Analytics Using Quantum Computing

This session will explore the intersection of predictive analytics and quantum computing. Researchers will present methodologies that leverage quantum technologies to improve predictive models and decision-making processes.

Track 05

Automation Strategies in AI and Quantum Computing

This track focuses on the automation of processes through the synergy of AI and quantum computing. Discussions will cover frameworks and strategies that facilitate automated decision-making and operational efficiency.

Track 06

Scalable Computing Solutions for AI

This session will address the challenges and solutions related to scalable computing in the context of artificial intelligence. Participants will examine architectures and methodologies that support large-scale AI implementations.

Track 07

Intelligent Systems and Quantum Technologies

This track invites contributions that investigate the role of intelligent systems in the advancement of quantum technologies. The focus will be on how AI can enhance the functionality and efficiency of quantum systems.

Track 08

Data Analytics in Quantum Machine Learning

This session will explore the application of data analytics techniques within quantum machine learning frameworks. Researchers will discuss the potential of quantum-enhanced analytics to drive insights from complex datasets.

Track 09

Innovation Strategies in Quantum AI

This track will highlight innovative strategies for integrating quantum computing with artificial intelligence. Presentations will focus on emerging trends and future directions in the field.

Track 10

Frameworks for Quantum AI Integration

This session will examine various frameworks that facilitate the integration of quantum computing with artificial intelligence applications. Participants will share insights on best practices and design considerations.

Track 11

Optimization Techniques in Quantum AI

This track focuses on optimization techniques that leverage quantum computing to enhance AI performance. Discussions will include algorithms and methodologies that improve efficiency and effectiveness in AI applications.