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Bases : `object`

Readout error class for Qiskit Aer noise model.

Create a readout error for a noise model.

For an N-qubit readout error probabilities are entered as vectors:

```probabilities[m] = [P(0|m), P(1|m), ..., P(2 ** N - 1|m)]
```

where `P(n|m)` is the probability of recording a noisy measurement outcome as `n` given the true ideal measurement outcome was `m`, where `n` and `m` are integer representations of bit-strings.

Example: 1-qubit

```probabilities[0] = [P("0"|"0"), P("1"|"0")]
probabilities[1] = [P("0"|"1"), P("1"|"1")]
```

Example: 2-qubit

```probabilities[0] = [P("00"|"00"), P("01"|"00"), P("10"|"00"), P("11"|"00")]
probabilities[1] = [P("00"|"01"), P("01"|"01"), P("10"|"01"), P("11"|"01")]
probabilities[2] = [P("00"|"10"), P("01"|"10"), P("10"|"10"), P("11"|"10")]
probabilities[3] = [P("00"|"11"), P("01"|"11"), P("10"|"11"), P("11"|"11")]
```
Paramètres
• probabilities (matrix) – List of outcome assignment probabilities.

• atol (double) – Threshold for checking probabilities are normalized (Default: 1e-8).

Lève

NoiseError – if an invalid argument is provided

Methods

 `compose` Return the composition readout error other * self. `copy` Make a copy of current ReadoutError. `dot` Return the composition readout error self * other. `expand` Return the tensor product readout error self ⊗ other. `ideal` Return True if current error object is an identity `power` Return the compose of the readout error with itself n times. `set_atol` Set the class default absolute tolerance parameter for float comparisons. `set_rtol` Set the class default relative tolerance parameter for float comparisons. `tensor` Return the tensor product readout error self ⊗ other. `to_dict` Return the current error as a dictionary. `to_instruction` Convert the ReadoutError to a circuit Instruction.

Attributes

atol

The default absolute tolerance parameter for float comparisons.

number_of_qubits

Return the number of qubits for the error.

probabilities

Return the readout error probabilities matrix.

rtol

The relative tolerance parameter for float comparisons.