Javad Chaharlang

Skills

Quantum Algorithms, Quantum Computing, Quantum Machine Learning, Quantum Signal Processing, Quantum Information Security, Quantum Cryptography, Hybrid Quantum-Classical Computing, Qiskit, Qiskit Aer, Qiskit Machine Learning, PennyLane, Python, Quantum Kernels, Quantum Feature Maps, QKNN, QSVM, Variational Quantum Circuits, Quantum Neural Networks, QCNN, NISQ Algorithms, Quantum Simulation, Noise-Aware Simulation, Circuit Transpilation, Quantum Benchmarking, Scientific Computing, Research Software, Reproducible Research, Machine Learning, Deep Learning, Signal Processing, Data Science, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, Git, GitHub, Automated Testing, Continuous Integration, Technical Writing, Academic Research

About

Quantum Algorithms and Quantum Machine Learning Researcher with a Ph.D. in Computer Engineering and more than 15 years of research and university teaching experience. My work focuses on quantum algorithms, QML, quantum signal processing, quantum information security, and hybrid quantum-classical methods. I develop reproducible and resource-aware research workflows using Qiskit, PennyLane, Python, quantum kernels, QKNN, QSVM, VQC, QNN, and QCNN. My research record includes three first-author journal articles in quantum audio processing and security, collaborative research in hybrid quantum-classical medical imaging, 116 Google Scholar citations, and an open-source quantum signal encoding benchmark repository. I am interested in remote and international opportunities as a Quantum Algorithms Researcher, QML Researcher, Quantum Research Scientist, Postdoctoral Researcher, Research Fellow, or Quantum R&D Scientist.