Implicit-differentiation experiments for parametrized Hamiltonians and bilevel Max-Cut optimization.
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Updated
Jun 28, 2026 - Python
Implicit-differentiation experiments for parametrized Hamiltonians and bilevel Max-Cut optimization.
Source for Markus Baumann's public research website and identity hub.
Public profile for quantum reservoir computing, quantum machine learning, time-series forecasting, and reproducible research workflows.
Spaced-repetition and LLM tutoring loops for learning workflows.
Reproducibility package for “Exploiting More Than Symmetry in Variational Quantum Machine Learning” (QCE26).
Transferable operating bands in dissipative quantum reservoirs, with task-free memory screening (QCE26).
Interactive Quantum Reservoir Computing learning platform with spaced-repetition flashcards.
Archival research project on statistically learnable Quantum Reservoir Computing.
Live personal website for Markus Baumann, researcher in quantum reservoir computing and quantum machine learning.
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