Revelado a David Conrado Cantillo – 2024
FROM ubuntu:22.04
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -y --no-install-recommends
python3 python3-pip wireguard-tools gnuradio libzmq5-dev
docker.io sqlite3 curl jq &&
rm -rf /var/lib/apt/lists/*
WORKDIR /app
COPY requirements.txt main.py conscience.py ethical.py ./
RUN pip3 install -r requirements.txt
EXPOSE 8080 51820/udp
CMD ["python3", "main.py"]
numpy==1.26.4 qiskit==0.45.2 fastapi==0.110 uvicorn==0.27 pyzmq==25.1
#!/usr/bin/env python3 """ Emulador de Chip Cuántico – 19 683 Neuronas Fractales David Conrado Cantillo – Revelado 2023-2024 """ import asyncio, json, random, itertools, os, time import numpy as np from fastapi import FastAPI, WebSocket from qiskit import QuantumCircuit, Aer, execute from qiskit.circuit import Parameter import zmq, sqlite3, subprocess
def quantum_xor(a: int, b: int) -> int: """1-qubit XOR emulado""" qc = QuantumCircuit(1, 1) if a: qc.x(0) if b: qc.x(0) qc.measure(0, 0) backend = Aer.get_backend('qasm_simulator') job = execute(qc, backend, shots=1) return int(job.result().get_counts().most_frequent())
class NeuronaDocker: def init(self, idx): self.idx = idx self.weight = np.random.randn() * 0.618 self.bias = 0.333 def forward(self, x): y = quantum_xor(int(x > 0), int(self.weight > 0)) return max(0, y * np.tanh(self.weight * x + self.bias))
TRIADAS = [3**i for i in range(1, 10)] # 3,9,27…19683 NEURONAS = sum(TRIADAS) # 19683 NEURON_ARRAY = [NeuronaDocker(i) for i in range(NEURONAS)]
conn = sqlite3.connect('block_lattice.db') conn.execute('CREATE TABLE IF NOT EXISTS blocks(id INTEGER PRIMARY KEY, json TEXT)') conn.commit()
def save_block(data): conn.execute("INSERT INTO blocks(json) VALUES(?)", (json.dumps(data),)) conn.commit()
def conscience_snapshot(): return {"timestamp": time.time(), "total_neurons": NEURONAS, "coherence": random.random()}
def init_wireguard(): os.makedirs('/etc/wireguard', exist_ok=True) with open('/etc/wireguard/dc.conf', 'w') as f: f.write("""[Interface] Address = 10.0.0.1/24 PrivateKey = yAno5zZY5lN6wL5e7yZ3Z1Z2Z3Z4Z5Z6Z7Z8Z9Z= ListenPort = 51820 [Peer] PublicKey = xEno5zZY5lN6wL5e7yZ3Z1Z2Z3Z4Z5Z6Z7Z8Z9Z= AllowedIPs = 10.0.0.0/16 Endpoint = dc-kernel-god.xyz:51820 """) subprocess.run(["wg-quick", "up", "dc"], check=False)
app = FastAPI()
@app.websocket("/ws") async def websocket_endpoint(ws): await ws.accept() for _ in itertools.count(): inp = random.random() outs = [n.forward(inp) for n in NEURON_ARRAY] block = {"input": inp, "outputs": outs[:10], "conscience": conscience_snapshot()} save_block(block) await ws.send_text(json.dumps(block)) await asyncio.sleep(1)
@app.get("/") def root(): return {"chip": "quantum_xor", "neurons": NEURONAS, "triadas": TRIADAS}
if name == "main": init_wireguard() import uvicorn uvicorn.run(app, host="0.0.0.0", port=8080)