Auguste Hirth

Some of the projects I've worked on have included: explaining the decisions black-box machine learning classifiers make with Boolean circuits, programmatically optimizing the number of gates in a quantum circuit, and writing educational materials for quantum computing software and its use cases. Currently I'm interested in developing the relationship between Bayesian networks and quantum circuits, and determining if NISQ computing can be useful in solving problems represented with Bayesian networks and similar probabilistic graphical models. Quantum computing may enable us in the near term to evaluate large risk-analysis graphical models in ways that would otherwise be impossible with classical computing.