Create qebc_protocol.py

Author: KOSASIH

src/quantum_consensus/qebc_protocol.py

@@ -0,0 +1,83 @@
+# src/quantum_consensus/qebc_protocol.py
+
+import logging
+import random
+import numpy as np
+
+# Set up logging for the QEBC protocol
+logger = logging.getLogger(__name__)
+
+class QEBCProtocol:
+    def __init__(self, node_id, num_nodes):
+        """
+        Initialize the QEBC Protocol.
+
+        Parameters:
+        - node_id (str): Unique identifier for the node.
+        - num_nodes (int): Total number of nodes participating in the consensus.
+        """
+        self.node_id = node_id
+        self.num_nodes = num_nodes
+        self.entangled_pairs = []  # List to hold entangled pairs
+        logger.info(f"QEBC Protocol initialized for node {self.node_id}.")
+
+    def create_entangled_pairs(self):
+        """
+        Create entangled pairs of qubits for consensus.
+
+        This is a placeholder for actual quantum entanglement logic.
+        """
+        for i in range(self.num_nodes):
+            if i != self.node_id:
+                # Simulate creating an entangled pair with another node
+                pair = (self.node_id, i, self._generate_entangled_state())
+                self.entangled_pairs.append(pair)
+                logger.info(f"Entangled pair created: {pair}")
+
+    def _generate_entangled_state(self):
+        """
+        Generate a simulated entangled state.
+
+        Returns:
+        - np.ndarray: A simulated entangled state represented as a numpy array.
+        """
+        # Placeholder for actual quantum state generation
+        state = np.random.rand(2, 2)  # Simulated 2x2 matrix
+        return state / np.linalg.norm(state)  # Normalize the state
+
+    def reach_consensus(self, proposed_value):
+        """
+        Reach consensus using the entangled pairs.
+
+        Parameters:
+        - proposed_value (any): The value proposed by the node for consensus.
+
+        Returns:
+        - bool: True if consensus is reached, False otherwise.
+        """
+        logger.info(f"Node {self.node_id} proposing value: {proposed_value}")
+        votes = [self._vote(proposed_value) for _ in range(self.num_nodes - 1)]
+        consensus_result = all(votes)
+
+        if consensus_result:
+            logger.info(f"Consensus reached on value: {proposed_value}")
+        else:
+            logger.warning(f"Consensus not reached for value: {proposed_value}")
+
+        return consensus_result
+
+    def _vote(self, proposed_value):
+        """
+        Simulate a vote based on the entangled state.
+
+        Parameters:
+        - proposed_value (any): The value proposed by the node for consensus.
+
+        Returns:
+        - bool: Simulated vote result (True/False).
+        """
+        # Simulate a voting mechanism based on the entangled state
+        # Here we randomly decide to vote for or against the proposed value
+        vote = random.choice([True, False])
+        logger.info(f"Node {self.node_id} voted: {'Yes' if vote else 'No'} for value: {proposed_value}")
+        return vote