Presentation
20 June 2024 The concept of Fisher information in scattering problems and neural networks
Author Affiliations +
Abstract
In my talk, I will discuss recent progress in applying the concept of Fisher information to the problem of estimating system parameters in complex scattering environments, such as inside or behind a disordered medium [1,2,3,4]. Interestingly, such tools can also be successfully applied to artificial neural networks, in particular to define the performance limit of a network in extracting information from a complex system. [1] Maximum information states for coherent scattering measurements, D. Bouchet, S. Rotter, and A. P. Mosk, Nature Physics 17, 564 (2021). [2] Optimal control of coherent light scattering for binary decision problems, D. Bouchet, L. M. Rachbauer, S. Rotter, A. P. Mosk, and E. Bossy, Phys. Rev. Lett. 127, 253902 (2021). [3] Invariance property of the Fisher information in scattering media, M. Horodynski, D. Bouchet, M. Kühmayer, and S. Rotter, Phys. Rev. Lett. 127, 233201 (2021). [4] Continuity equation for the flow of Fisher information in wave scattering, J. Hüpfl, F. Russo, L. M. Rachbauer, D. Bouchet, J. Lu, U. Kuhl, and S. Rotter, arXiv:2309.00010
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stefan Rotter "The concept of Fisher information in scattering problems and neural networks", Proc. SPIE PC13004, Nonlinear Optics and its Applications 2024, PC1300401 (20 June 2024); https://doi.org/10.1117/12.3022535
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KEYWORDS
Scattering

Artificial neural networks

Complex systems

Light scattering

Physical coherence

Control systems

Lutetium

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