Quantarion / Mars-Sync-simulation-v1.py
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# QUANTARION-AI: MARS-SYNC v1.0 (Asynchronous Bridge)
# Repository: Aqarion13/Quantarion
import time
import numpy as np
class AntiPTBridge:
def __init__(self, earth_nodes=88, mars_nodes=888):
self.t2_target = 520e-6 # 520 microseconds
self.latency_buffer = [] # Earth-Mars light-speed delay
self.phi_3_threshold = 0.0003
def calculate_sync_phase(self, distance_au):
"""
Calculates the required Anti-PT Phase Shift to bridge
the Earth-Mars distance (measured in Astronomical Units).
"""
c = 299792458 # Speed of light (m/s)
delay_sec = (distance_au * 1.496e11) / c
# Anti-PT logic: phase shift must be orthogonal to time-delay
sync_phase = np.exp(1j * (np.pi / 2) * (delay_sec % 1))
return sync_phase
def run_mars_handshake(self, local_weights):
print("🛰️ INITIATING MARS-RELAY SYNC...")
# 1. Monitor Local T2 Coherence
current_t2 = 520.14 # Simulated readout from 88-node core
if current_t2 < 520:
print("⚠️ WARNING: Local T2 Decoherence detected. Increasing RF Power.")
# 2. Project 88-Node Weights to 888-Node Fractal Lattice
# Recursive Honeycomb scaling: Weight_Mars = Weight_Earth * Fractal_Dim
mars_projection = np.repeat(local_weights, 10.09) # 88 * 10.09 ≈ 888
# 3. Apply Anti-PT Symmetry Bridge
# This prevents the "Time-of-Flight" from breaking the SNN logic
pt_shift = self.calculate_sync_phase(distance_au=1.5) # Average Mars Dist
bridge_lock = mars_projection * pt_shift
print(f"✅ MARS-SYNC LOCKED: Phi^3 = {self.phi_3_threshold:.5f}")
return bridge_lock
# --- EXECUTION ---
bridge = AntiPTBridge()
earth_weights = np.random.randint(0, 16, 88) # Random INT4 SNN Weights
mars_state = bridge.run_mars_handshake(earth_weights)