QuantERA Call 2025 Partner Search Tool

General Information

• Type: Partner looking for project
• Organisation: Karamanoğlu Mehmetbey Üniversitesi
• Country: Turkey (TR)

Research area

• Call topics:
  • Applied Quantum Science
• Keywords:

  quantum machine learning quantum-classical optimization imbalanced datasets feature engineering performance benchmarking

• Brief description of your expertise / expertise you are looking for:

  I develop and benchmark hybrid quantum–classical algorithms for learning from imbalanced semantic datasets, focusing on data-efficient optimization, feature engineering, and performance metrics. My work aims to bridge the gap between theoretical QML models and real-world robustness, using Qiskit and PennyLane. I am interested in collaborating with groups working on applied quantum machine learning, optimization techniques, or hardware-oriented benchmarking.

• Brief description of your project / the project you would like to join:

  I am interested in joining or co-developing projects exploring quantum-enhanced methods to improve optimization, learning efficiency, and robustness in applied quantum machine learning. My research focuses on designing and benchmarking models for imbalanced and high-dimensional datasets, emphasizing data-efficient training and cross-platform performance evaluation on simulators and near-term quantum hardware. I can contribute to algorithm development, evaluation frameworks, and integration of QML techniques within scalable workflows.

Şahizer Aksoy

• Organisation: Karamanoğlu Mehmetbey Üniversitesi
• Position: MSc Researcher - Quantum Machine Learning
• E-mail: 240466015@stu.kmu.edu.tr
• Phone: +905428018830