Arun Manna

Skills

Quantum Machine Learning (QML)
Variational Quantum Circuits (VQCs)
Quantum Neural Networks (QNNs)
Hybrid Quantum–Classical Algorithms
Quantum Image Processing (QIP)
Python (NumPy, SciPy, Pandas, Matplotlib)
Quantum SDKs: Qiskit, PennyLane, Cirq, Braket, Strawberry Fields

About

I am a dedicated researcher with strong technical expertise in machine learning, quantum computing, and scientific problem-solving. My experience spans advanced algorithm development, medical image analysis, and experimental quantum modelling. I have worked on multiple research projects involving hybrid quantum–classical frameworks, breast cancer image classification, and optimization of quantum neural networks, demonstrating both theoretical understanding and hands-on implementation.

I bring strong analytical skills, proficiency in Python and scientific computing, and a deep interest in cutting-edge technologies such as quantum machine learning, photonic systems, and quantum image processing. I have contributed to publications, presented research results at academic forums, and collaborated effectively in interdisciplinary teams. My ability to learn quickly, design experiments, and handle complex technical challenges enables me to deliver high-quality research outcomes.Overall, I aim to contribute to impactful scientific work while continuously expanding my knowledge and skills in advanced computing and emerging quantum technologies.