Optical algorithm for derivative of real-valued functions
The derivation of a function is a fundamental tool for solving problems in calculus. Consequently, the motivations for investigating physical systems capable of performing this task are numerous. Furthermore, the potential to develop an optical computer to replace conventional computers has led us to create an optical algorithm and propose an experimental setup for implementing the derivative of one-dimensional real-valued functions using a paraxial and monochromatic laser beam. To complement the differentiation algorithm, we have experimentally implemented a novel optical algorithm that can transfer a two-dimensional phase-encoded function to the intensity profile of a light beam. Additionally, we demonstrate how to implement the n-th derivative of functions encoded in the phase of the transverse profile of photons.
Authors
- Rafael M. Gomes (ORCID: https://orcid.org/0009-0000-0111-8295)
- Guilherme L. Zanin (ORCID: https://orcid.org/0000-0003-4178-7818)
- A. T. Avelar (ORCID: https://orcid.org/0000-0003-1733-6937)
- Wesley B. Cardoso (ORCID: https://orcid.org/0000-0002-3192-392X)
- Murilo H. Magiotto
Publication Details
- Journal
- Optics & Laser Technology
- Published
- 2024-11-24
- DOI
- https://doi.org/10.1016/j.optlastec.2024.112137
- Citations
- 1
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Ministério da Ciência, Tecnologia e Inovação
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado de Goiás