Abstract
We overview recent results on generalizations of the Wasserstein 2-metric, originally defined on the space of scalar probability densities, to the space of Hermitian matrices and of matrix-valued distributions, as well as some extensions of the theory to vector-valued distributions and discrete spaces (weighted graphs).
This project was supported by ARO grant (W911NF-17-1-0429), AFOSR grants (FA9550-15-1-0045 and FA9550-17-1-0435), NSF (ECCS-1509387), NIH (P41-RR-013218, P41-EB-015902, 1U24CA18092401A1), and a postdoctoral fellowship at MSKCC.
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Notes
- 1.
The domain of \(\nabla _L\) is \({\mathscr {H}}\), hence the identity requires \(XY+YX\), instead of simply XY.
- 2.
The Lindblad term is in the so-called symmetric form since the coefficients are Hermitian.
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Chen, Y., Georgiou, T.T., Tannenbaum, A. (2018). Wasserstein Geometry of Quantum States and Optimal Transport of Matrix-Valued Measures. In: Tempo, R., Yurkovich, S., Misra, P. (eds) Emerging Applications of Control and Systems Theory. Lecture Notes in Control and Information Sciences - Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-67068-3_10
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