Quantum Generators: Pattern Analysis for 3D Model Reconstruction from the Structured Compute Units.

EasyChair Preprint 4934

Abstract

Quantum Generators is a means of achieving mass food production with short production cycles, and when and where required by means of machines rather than land based farming which has serious limitations. The process for agricultural practices for plant growth in different stages is simulated in a machine with a capacity to produce multiple seeds from one seed input using computational models of multiplication (generating multiple copies of kernel in repetition). In this paper, we present different methods for generating 3D pattern reconstruction from the structured Compute Units resulted by the computational models of multiplication and also present a method related to 3D reconstruction so that they can be linked to tissues of the kernel which mimic the real cell structure that grows into full-fledged natural tissue. We use simulation to show that we achieve 3D structure with respect to the size of the input space and realize good pattern. The results suggest that it is possible to achieve relevant cell structure for quantum generation.

Keyphrases: 3D Pattern Reconstruction, Compute Units, Quantum Generators

@booklet{EasyChair:4934,
  author    = {Poondru Prithvinath Reddy},
  title     = {Quantum Generators: Pattern Analysis for 3D Model Reconstruction from the Structured Compute Units.},
  howpublished = {EasyChair Preprint 4934},
  year      = {EasyChair, 2021}}