Understanding nature's choice of genetic languages

TL;DR

This paper explores how the genetic code in living organisms may operate as an optimal search algorithm akin to Grover's quantum search, suggesting a potential quantum computational basis for genetic processes.

Contribution

It proposes that the genetic machinery functions similarly to Grover's algorithm, offering a novel quantum perspective on biological information processing.

Findings

Genetic languages align with Grover's algorithm pattern

DNA and proteins may implement quantum search principles

Optimality in genetic processes suggests quantum computation involvement

Abstract

All living organisms use the same genetic languages in their molecular biology machinery. They can be understood as the optimal solutions to the replication tasks involving DNA and proteins. These solutions perfectly fit the pattern predicted by Grover's algorithm, which is more efficient than the best Boolean search algorithm (i.e. binary tree search) that predicts a different pattern. The challenge is to demonstrate how Grover's algorithm would be executed in vivo by the living organisms.