DNA-Lang v1.0
DNA-Lang Documentation
Learn how to build quantum programs using biological computing paradigms. From basic gates to evolutionary optimization.
Introduction to DNA-Lang
DNA-Lang is a revolutionary programming paradigm that maps quantum computing concepts to biological metaphors, making quantum algorithm development more intuitive and accessible. Instead of thinking about qubits and gates, you work with chromosomes, genes, and codons.
Key Principles
- Biological Abstraction: Quantum gates become codons, circuits become genomes
- Evolutionary Optimization: Genetic algorithms optimize circuit parameters
- Immune System: Error correction modeled as biological defense
- Consciousness Metrics: Measure integrated information (Φ) as a quality indicator
The Four Layers
┌─────────────────────────────────────────────────┐ │ ECOSYSTEM (Habitats & Evolution) │ ├─────────────────────────────────────────────────┤ │ ORGANISM (Programs & Phenotypes) │ ├─────────────────────────────────────────────────┤ │ GENETIC (Genomes & Chromosomes) │ ├─────────────────────────────────────────────────┤ │ MOLECULAR (Codons & Gates) │ └─────────────────────────────────────────────────┘
Your First Organism
Here's a simple Bell state generator - the "Hello World" of quantum computing:
ORGANISM HelloBell {
META {
version: "1.0.0"
habitat: "simulator"
}
GENOME BellPair {
CHROMOSOME qubits: 2
GENE superpose: helix {
express {
HELIX chromosome[0] # Hadamard
}
}
GENE entangle: bond {
express {
BOND chromosome[0] -> chromosome[1] # CNOT
}
}
GENE observe: measure {
express {
return MEASURE chromosome
}
}
}
}
# Run and see results
result = HelloBell.express()
# Output: "00" or "11" with ~50% probability each