from dask import delayed, compute
from dask.distributed import Client

def initialize_cluster():
    """
    Initializes a Dask distributed cluster.
    """
    client = Client()
    return client

def run_distributed_simulations(simulations):
    """
    Runs quantum simulations in a distributed manner.
    """
    client = initialize_cluster()
    tasks = [delayed(simulation)() for simulation in simulations]
    results = compute(*tasks)
    client.close()
    return results

# Unit Tests for Distributed Computing
def test_distributed_computing():
    """
    Test the distributed computing capabilities to ensure tasks are properly
    distributed, processed, and results are accurately aggregated.
    """
    # Initialize the distributed computing environment
    # Define tasks to be distributed
    # Distribute tasks across available nodes
    # Collect results from all nodes
    # Aggregate and verify the results
    pass

# Distributed Computing Module

import multiprocessing

def simulate_circuit_segment(circuit_segment):
    # Simulate a segment of the quantum circuit
    # Placeholder function
    result = circuit_segment.run()
    return result

def distributed_simulation(circuit_segments):
    """
    Distribute the simulation of a quantum circuit across multiple processors.
    """
    with multiprocessing.Pool() as pool:
        results = pool.map(simulate_circuit_segment, circuit_segments)
    return results