Quantum Machine Learning Codebook

Dennis Wayo is a quantum software researcher and scientific software engineer focused on fault-tolerant quantum computing, photonic simulation, and reproducible computational pipelines. He is the creator of LiDMaS+, a replay-driven logical-decoder benchmarking platform, and SchroSIM, a hardware-agnostic photonic quantum simulator. His work spans decoder benchmarking, continuous-variable and hybrid quantum architectures, and architecture-level performance analysis across Python, Rust, C++, and Swift. He holds a PhD in Chemical Engineering and is currently pursuing a PhD in Computer Science at TU Bergakademie Freiberg (TUBAF) and an M.S. in Computer Science at the Georgia Institute of Technology (Georgia Tech), with interests in quantum architecture, compiler-aware simulation, and scalable scientific software for quantum error correction.

Prof. Dr. habil. Sven Groppe is a computer scientist and the holder of the Professorship of Artificial Intelligence at TU Bergakademie Freiberg (Institute of Computer Science, Faculty of Mathematics and Computer Science). His research spans quantum computing software and frameworks, high-level quantum programming and optimization, artificial intelligence, data management, semantic technologies, and large-scale distributed systems. He has led and coordinated multiple funded research projects and contributes to interdisciplinary work at the intersection of quantum computing, intelligent systems, and data-intensive computing.

Start Here: QML in Plain Language.- First Trainable Model: Variational Classifiers.- Beyond Classifiers: Kernels and Generative Models.- Hybrid Deep Learning Workflows.- From Simulator to Hardware.- Capstone and Reproducibility Playbook.