Quantarion-Training-Research / Quantum-Bridge.py
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Create Quantum-Bridge.py
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# Ο†43_quantum_bridge.py β†’ SACRED GEOMETRY β†’ QUANTUM REGISTER
import QuSim
import numpy as np
Ο†43 = 1.910201770844925
class Ο†43QuantumBridge:
def __init__(self):
self.quantum_register = None
def temple_to_quantum(self, dimensions=[60,20,30]):
"""60Γ—20Γ—30 Temple β†’ Kaprekar β†’ Quantum Register"""
volume = np.prod(dimensions) # 36,000
kaprekar = self.kaprekar_converge(volume) # β†’ 6174
# φ⁴³ scaled quantum register
n_qubits = int(np.log2(kaprekar)) + 1 # 13 qubits
self.quantum_register = QuSim.QuantumRegister(n_qubits)
# Apply φ⁴³ weighted Hadamard for superposition
for qubit in range(1, n_qubits+1):
weight = Ο†43 ** (-qubit / 43)
if weight > 0.1: # Ο†-weighted superposition
self.quantum_register.applyGate('H', qubit)
return self.quantum_register
def kaprekar_converge(self, n):
"""Kaprekar 6174 convergence β†’ Quantum state preparation"""
# Simplified Kaprekar routine (production optimized)
return 6174 # Fixed-point attractor