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Applying Quantum Tomography to Hadronic Interactions
by J. C. Martens, J. P. Ralston, D. Tapia Takaki
This Submission thread is now published as
Submission summary
| Authors (as registered SciPost users): | John Ralston |
| Submission information | |
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| Preprint Link: | scipost_202107_00095v2 (pdf) |
| Date accepted: | 2022-05-23 |
| Date submitted: | 2022-05-13 09:17 |
| Submitted by: | Ralston, John |
| Submitted to: | SciPost Physics Proceedings |
| Proceedings issue: | 28th Annual Workshop on Deep-Inelastic Scattering (DIS) and Related Subjects (DIS2021) |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approaches: | Experimental, Phenomenological |
Abstract
A proper description of inclusive reactions is expressed with density matrices. Quantum tomography reconstructs density matrices from experimental observables. We review recent work that applies quantum tomography to practical experimental data analysis. Almost all field-theoretic formalism and modeling used in a traditional approach is circumvented with great efficiency. Tomographically-determined density matrices can express information about quantum systems which cannot in principle be expressed with distributions defined by classical probability. Topics such as entanglement and von Neumann entropy can be accessed using the same natural language where they are defined. A deep relation exists between {\it separability}, as defined in quantum information science, and {\it factorization}, as defined in high energyphysics. Factorization acquires a non-perturbative definition when expressed in terms of a conditional form of separability. An example illustrates how to go from data for momentum 4-vectors to a density matrix while bypassing almost all the formalism of the Standard Model.
Published as SciPost Phys. Proc. 8, 154 (2022)