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I will build quantum machine learning and computing projects
Software Engineering Student
Final Year Software Engineering student at NUST, passionate about Research, Mathematics, and Physics. I love to work at the intersection of Software and Hardware, as that is where tech truly resides.
About this Gig
Need QML simulations for research, thesis, or proof-of-concept? I implement reproducible quantum ML workflows - from variational circuits to controlled noise analysis on NISQ-style setups.
Services:
- Variational Quantum Circuits (VQC) for regression/classification
- Feature maps, ansätze, and circuit design
- Noise modeling and controlled-noise experiments
- Benchmarking vs classical ML baselines
- Molecular property prediction (e.g. HOMO-LUMO gap)
- Reproducible notebooks with clear documentation
Why me:
- QML project exploring controlled noise as amplifier in NISQ hardware
- Implemented VQC to predict molecular properties via HOMO-LUMO gap
- Hybrid Quantum Neural Network for Drug Screening (FYP) - architecture + presentation
My Portfolio
FAQ
Do you run on real quantum hardware?
Yes, I do. It needs discussion with me for clarification of what type of hardware do we need running on.
What prior knowledge needed?
Just describe goal, dataset (if any), or research question. I explain results clearly.
Is this suitable for thesis work?
Yes, I deliver reproducible, well-documented work with methodology clearly stated.
