In special circumstances where certain control qubits are in a specific state or where the Toffoli gate is required only for specific control configurations, you can simplify the implementation to reduce the number of gates and improve the gate fidelity. Here's an example of a simpler implementation of the Toffoli gate on IBM Q hardware for the specific case where one control qubit is in the |1⟩ state:
Code: Select all
from qiskit import QuantumCircuit, transpile, Aer, execute
# Initialize a quantum circuit
qc = QuantumCircuit(3)
# Apply a Toffoli gate using a single controlled-X (CX) gate
qc.cx(1, 2) # Flips the target qubit if the second qubit is in the |1⟩ state
# Simulate the circuit
simulator = Aer.get_backend('qasm_simulator')
job = execute(qc, simulator)
result = job.result()
counts = result.get_counts()
print("Measurement outcomes:", counts)
Keep in mind that this simplified implementation of the Toffoli gate is limited to the specific case where one of the control qubits is in the |1⟩ state. For more general cases where both control qubits can be in arbitrary states, you would need to use the standard Toffoli gate implementation.
Additionally, when working with real quantum hardware, you should consider the error rates and gate limitations of the specific device you're using. Depending on the device characteristics, it might still be preferable to use a more robust implementation of the Toffoli gate, even if it requires more gates.