Quantum and Neuromorphic Simulation

[Startonix]

quantum_neuromorphic_simulation.py

import pennylane as qml import nengo

def simulate_quantum_algorithm(): dev = qml.device('default.qubit', wires=2)

@qml.qnode(dev)
def circuit():
    qml.Hadamard(wires=0)
    qml.CNOT(wires=[0, 1])
    return qml.probs(wires=[0, 1])

return circuit()

quantum_result = simulate_quantum_algorithm() print("Quantum Result:", quantum_result)

def simulate_neuromorphic_network(input_signal, duration=1.0): model = nengo.Network() with model: input_node = nengo.Node(lambda t: input_signal) ens = nengo.Ensemble(100, 1) nengo.Connection(input_node, ens) probe = nengo.Probe(ens, synapse=0.01) with nengo.Simulator(model) as sim: sim.run(duration) return sim.data[probe]

neuromorphic_result = simulate_neuromorphic_network(0.5) print("Neuromorphic Result:", neuromorphic_result)