About
Saad Malik is a Quantum Machine Learning Engineer at QLogix, a quantum research and technology company. He is pursuing an MS in Physics at COMSATS University Islamabad.
His main area is quantum machine learning (QML), including data encoding, quantum circuit modeling and optimization. He builds and trains hybrid quantum-classical models using PennyLane, Qiskit and PyTorch. His current work applies QML to radar sensing and decision-making in power distribution systems.
He has expertise in training classical machine learning models for a range of problems, with a published paper in deep learning. He also develops reliable AI agents for automation, with tool calling, API integration, RAG, human-in-the-loop checks, guardrails and full evaluation pipelines.
Work with the team
Joint research, student projects and internships on any of the tracks.