Hybrid Conferencee

International Conference on Quantum Computing and Machine Learning (ICQCML - 26)

14th - 15th November 2026 | Sydney, Australia

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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 Sydney. 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 Sydney 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 Sydney conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sydney, 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 Sydney."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICQCML aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Machine Learning, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Quantum algorithms for machine learning
02
Quantum machine learning applications
03
Hybrid quantum-classical computing models
04
Quantum data encoding techniques
05
Error correction in quantum ML systems
06
Quantum neural networks and architectures
07
Applications of quantum computing in AI
08
Quantum-enhanced optimization algorithms
09
Machine learning for quantum system analysis
10
Quantum cryptography and machine learning
11
Scalability challenges in quantum ML
12
Quantum simulations for machine learning
13
Interdisciplinary approaches to quantum AI
14
Quantum machine learning frameworks
15
Impact of quantum computing on ML research
16
Quantum feature selection methods
17
Real-world applications of quantum ML
18
Ethical implications of quantum technologies
19
Future directions in quantum machine learning
20
Collaborative quantum computing initiatives