Quantum technologies are poised to redefine the boundaries of computation, optimization, and machine learning. This workshop organized alongside 11th International Conference on Pattern Recognition and Machine Intelligence (PReMI'25) at IIT Delhi aims to bring together researchers, academicians, and industry experts to explore the confluence of Quantum Computing (QC) and Machine Learning (ML), with a specific focus on applications in Pattern Recognition and Artificial Intelligence (AI).

Important Details:

Workshop Date: 11-Dec-2025

Venue: IIT Delhi

Paper Submission Deadline: 15-Sep-2025

Paper Submission Link: Submit your paper here (Double Blind Format)

Scope and Topics: We invite contributions on topics including, but not limited to:

• Quantum algorithms for machine learning

• Quantum-inspired models for classical machine learning hardware

• Quantum kernel methods for machine learning

• Variational quantum circuits for machine learning

• Quantum optimization in pattern recognition

• Quantum-enhanced signal processing

• Noisy Intermediate-Scale Quantum (NISQ) computing techniques

• Quantum data encoding and quantum feature spaces

• Hybrid quantum-classical models for machine learning and pattern recognition

• Benchmarks and comparative studies on classical vs quantum ML models

• Quantum machine learning for cybersecurity and wireless communications

• Quantum machine learning in speech and natural language processing

• Quantum machine learning for scientific discovery, commercial and industrial applications

Objectives:

• • Introduce foundational concepts of quantum computing to machine learning and artificial intelligence researchers.

  • Showcase cutting-edge research in quantum-enhanced machine learning methods.

  • Foster interdisciplinary collaboration between quantum physicists and machine learning practitioners.

  • Create a platform for discussion on quantum supremacy, hybrid quantum-classical algorithms, and practical implementation challenges.

Target Audience:

• Researchers and graduate students in ML, AI, signal processing, and quantum computing.

• Industry professionals working in emerging quantum technologies.

• Academicians exploring the theoretical foundations of QC and QML.

Program:

1. Keynote Speaker: Sridhar C V, TCS Research

2. Contributed Paper presentations

3. Poster Presentations

Note: Accepted papers will be presented during the workshop and included in the conference proceedings.

Workshop Flyer: