Kordzanganeh

Quantum Machine Learning Scientist @ Terra Quantum AG

Hello!

I'm Mo Kordzanganeh.

I'm a quantum machine learning scientist at Terra Quantum AG.

I mainly explore using hybrid quantum neural networks (HQNN) to improve on classical machine learning, sometimes by digging deep into theory and other times through experimentation and solving client problems.

I'm always open to chatting about the latest research. Reach out to me on my personal email, and I'll try to get back to you as soon as I can:

mo <at> kordzanganeh <dot> com

My top recommended papers:

Schuld et al. 2020: The effect of data encoding on the expressive power of variational quantum machine learning models
van de Wetering 2020: ZX-calculus for the working quantum computer scientist
Zhao et al. 2021: Analyzing the barren plateau phenomenon in training quantum neural networks with the ZX-calculus

Currently:

I live with my partner in Manchester, UK.

We have a little cat called Mittens, because her paws are white, and the rest of her body is black.

Quick story of my time at university from 2017 to 2021:

Mo Presentation

My work so far:

Sagingalieva et al. 2023: Hybrid quantum neural network for drug response prediction
Kordzanganeh et al. 2023: Parallel Hybrid Networks: an interplay between quantum and classical neural networks
Rainjonneau et al. 2023: Quantum algorithms applied to satellite mission planning for Earth observation
Melnikov et al. 2023: Quantum Machine Learning: from physics to software engineering
Kordzanganeh et al. 2022: An exponentially-growing family of universal quantum circuits
Kordzanganeh et al. 2022: Benchmarking simulated and physical quantum processing units using quantum and hybrid algorithms
Kordzanganeh et al. 2021: Quantum Machine Learning for Radio Astronomy

QML for radio astronomy

Here I present my university work at NITheCS conference.