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I want to run a simulation using qasm with a realistic noise model from a backend, specifying a coupling_map as well as an initial_layout. I do that via a QuantumInstance which in turn is passed to an algorithm. Now, two questions regarding that qubit layout:

  1. I know that the transpiler may change the mapping of logical to physical qubits. Furthermore, I pass a circuit to the algorithm as an argument and the algorithm then adds an ancilla qubit to the circuit. Is there a way for me to verify the final logical to physical qubit mapping after transpiling?

  2. Could that automatic adding of an ancilla cause problems when using QuantumInstance with a specific initial_layout?

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If you want to get the final qubit layout (regarding to your first question), you can look at the circuit data. Here is an example:

circuit = QuantumCircuit(4, 4)

for i in range(4):
    circuit.x(i)
circuit.measure([0,1,2,3], [0,1,2,3])

    
Circuit_Transpile = transpile(circuit, provider.get_backend('ibmq_16_melbourne') , 
                                initial_layout =None, optimization_level=3)

for quantum_register in Circuit_Transpile.data[:circuit.num_qubits]:
    print(quantum_register[1])

What you will see as output is something like:

[[Qubit(QuantumRegister(15, 'q'), 0)],
 [Qubit(QuantumRegister(15, 'q'), 9)],
 [Qubit(QuantumRegister(15, 'q'), 13)],
 [Qubit(QuantumRegister(15, 'q'), 14)]]

The number on the right correspond to the qubit number on the device of your interest. There are other ways to do this as well.

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  • $\begingroup$ Thanks for your answer. Could you elaborate on the alternatives for doing this? The above has two caveats; It does not show the ordering of logical qubits (e.g. [Qubit(QuantumRegister(15, 'q1'), 9)]) and, furthermore. gives one such line for every gate in the circuit, making it highly repetitive for longer circuits. I am looking for something like a dictionary logical --> physical qubits, e.g., {'q0': 0, 'q1': 9, 'q2': 13, 'q3': 14}. $\endgroup$
    – Durd3nT
    May 8 at 10:09
  • $\begingroup$ The other answer I was thinking of is extracting the qasm code... print(Circuit_Transpile.qasm()) but that does not give you what you want... $\endgroup$
    – KAJ226
    May 8 at 15:51

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