Pre-Enrollment

11th November 2026

Final Paper Submission

16th November 2026

Registration Deadline

24th November`2026

Conference Date

11th Dec - 12th Dec 2026

Call for Papers

The International Conference on Quantum Computing for Data Analytics invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Data Analytics, the conference aims to bridge theoretical advancements with real-world applications.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Quantum Algorithms For Data Analytics
02
Applications Of Quantum Computing In Data
03
Quantum Machine Learning Techniques
04
Data Security In Quantum Computing
05
Quantum Data Structures And Models
06
Challenges In Quantum Data Processing
07
Quantum Simulations For Data Insights
08
Interdisciplinary Approaches To Quantum Data
09
Quantum Computing For Optimization Problems
10
Future Of Quantum Data Technologies
11
Data Privacy In Quantum Systems
12
Quantum-enhanced Machine Learning Applications
13
Real-world Applications Of Quantum Analytics
14
Quantum Computing And Big Data Synergy
15
Ethical Considerations In Quantum Data Use
16
Collaborative Quantum Computing Projects
17
Quantum Data Visualization Techniques
18
Impact Of Quantum Computing On Industries
19
Quantum Cryptography And Data Security
20
Trends In Quantum Data Research
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review