Speaker
Daniel Tapia Takaki
(University of Kansas)
Description
Quantum tomography reconstructs higher dimensional features of quantum mechanical
systems from lower dimensional experimental information. The method is practical and directly processes experimental data while bypassing field-theoretic formalism. Quantum tomography can probe entanglement while avoiding model assumptions such as factorization. We present our work applying quantum tomography to the analysis of collider reactions. Building on these foundations, we introduce AI-driven extensions enabling it to tackle the large, complex datasets emerging from modern facilities. This work opens a new pathway for fundamental physics to uncover the hidden multidimensional structure of matter directly from experimental measurements.
Author
Daniel Tapia Takaki
(University of Kansas)