Hybrid Conferencee

International Conference on Quantum Computing for Data Analytics (ICQCDA - 26)

4th - 5th November 2026 | Glasgow, UK

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Glasgow conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Glasgow, 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 Glasgow."
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 Data Analytics

This track focuses on the development and application of quantum algorithms specifically designed for data analytics tasks. Participants will explore how quantum computing can enhance traditional data processing methods and improve analytical outcomes.

Track 02

Machine Learning in Quantum Environments

This session will delve into the integration of machine learning techniques within quantum computing frameworks. Discussions will include the potential advantages of quantum-enhanced machine learning models over classical counterparts.

Track 03

Big Data Challenges and Quantum Solutions

This track addresses the challenges posed by big data and how quantum computing can provide innovative solutions. Researchers will present case studies and theoretical frameworks demonstrating the efficacy of quantum approaches in managing large datasets.

Track 04

Quantum Machine Learning: Techniques and Applications

This session will cover the latest techniques in quantum machine learning and their practical applications across various industries. Attendees will gain insights into how quantum algorithms can transform data-driven decision-making processes.

Track 05

Optimization Problems in Quantum Computing

This track explores optimization problems that can be effectively solved using quantum computing methodologies. Participants will discuss various quantum optimization algorithms and their implications for business and economic modeling.

Track 06

Predictive Modeling with Quantum Technologies

This session focuses on the use of quantum technologies for enhancing predictive modeling capabilities. Researchers will share insights on how quantum computing can improve accuracy and efficiency in forecasting economic trends.

Track 07

AI Integration with Quantum Computing

This track examines the intersection of artificial intelligence and quantum computing, highlighting how quantum technologies can augment AI processes. Discussions will include potential applications and the future of AI in a quantum context.

Track 08

Decision Support Systems Powered by Quantum Data

This session will investigate the role of quantum data processing in enhancing decision support systems. Participants will explore case studies that demonstrate the impact of quantum computing on strategic business decisions.

Track 09

High-Performance Computing in Quantum Analytics

This track focuses on the advancements in high-performance computing as it relates to quantum analytics. Researchers will discuss the scalability and efficiency of quantum systems in processing complex analytical tasks.

Track 10

Quantum Simulation for Economic Modeling

This session will explore the use of quantum simulation techniques in economic modeling and analysis. Participants will discuss how quantum simulations can provide deeper insights into economic systems and behaviors.

Track 11

Quantum Security in Data Analytics

This track addresses the critical aspect of security in quantum data analytics. Researchers will present findings on quantum security protocols and their implications for safeguarding sensitive business and economic data.