Alleles as Qubits to Induce Polymorphism in DNA Computers Linked to Artificial Intelligence

This paper proposes a novel model wherein alleles are interpreted as quantum bits (qubits) to encode polymorphic states within a DNA-based computational substrate. We demonstrate that allelic variation, when represented as quantum superpositions and entanglements, introduces functional polymorphism into DNA computers that interface with artificial intelligence (AI). By encoding alleles as qubits, we achieve multidimensional information storage, quantum parallelism, and dynamic recombination capabilities. This approach bridges genomics, quantum computation, and AI, potentially transforming bioinformatics, cryptography, and cognitive machine learning models.