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---
title: SuperOp (v0.31)
description: API reference for qiskit.quantum_info.SuperOp in qiskit v0.31
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.quantum_info.SuperOp
---
# SuperOp
<Class id="qiskit.quantum_info.SuperOp" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.18/qiskit/quantum_info/operators/channel/superop.py" signature="SuperOp(data, input_dims=None, output_dims=None)" modifiers="class">
Bases: `qiskit.quantum_info.operators.channel.quantum_channel.QuantumChannel`
Superoperator representation of a quantum channel.
The Superoperator representation of a quantum channel $\mathcal{E}$ is a matrix $S$ such that the evolution of a [`DensityMatrix`](qiskit.quantum_info.DensityMatrix "qiskit.quantum_info.DensityMatrix") $\rho$ is given by
$$
|\mathcal{E}(\rho)\rangle\!\rangle = S |\rho\rangle\!\rangle
$$
where the double-ket notation $|A\rangle\!\rangle$ denotes a vector formed by stacking the columns of the matrix $A$ *(column-vectorization)*.
See reference \[1] for further details.
**References**
1. C.J. Wood, J.D. Biamonte, D.G. Cory, *Tensor networks and graphical calculus for open quantum systems*, Quant. Inf. Comp. 15, 0579-0811 (2015). [arXiv:1111.6950 \[quant-ph\]](https://arxiv.org/abs/1111.6950)
Initialize a quantum channel Superoperator operator.
**Parameters**
* \*\*(\*\***QuantumCircuit or** (*data*) Instruction or BaseOperator or matrix): data to initialize superoperator.
* **input\_dims** (*tuple*) the input subsystem dimensions. \[Default: None]
* **output\_dims** (*tuple*) the output subsystem dimensions. \[Default: None]
**Raises**
**QiskitError** if input data cannot be initialized as a superoperator.
**Additional Information:**
If the input or output dimensions are None, they will be automatically determined from the input data. If the input data is a Numpy array of shape (4\*\*N, 4\*\*N) qubit systems will be used. If the input operator is not an N-qubit operator, it will assign a single subsystem with dimension specified by the shape of the input.
## Methods
<span id="qiskit-quantum-info-superop-adjoint" />
### adjoint
<Function id="qiskit.quantum_info.SuperOp.adjoint" signature="SuperOp.adjoint()">
Return the adjoint quantum channel.
<Admonition title="Note" type="note">
This is equivalent to the matrix Hermitian conjugate in the [`SuperOp`](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp") representation ie. for a channel $\mathcal{E}$, the SuperOp of the adjoint channel $\mathcal{{E}}^\dagger$ is $S_{\mathcal{E}^\dagger} = S_{\mathcal{E}}^\dagger$.
</Admonition>
</Function>
<span id="qiskit-quantum-info-superop-compose" />
### compose
<Function id="qiskit.quantum_info.SuperOp.compose" signature="SuperOp.compose(other, qargs=None, front=False)">
Return the operator composition with another SuperOp.
**Parameters**
* **other** ([*SuperOp*](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")) a SuperOp object.
* **qargs** (*list or None*) Optional, a list of subsystem positions to apply other on. If None apply on all subsystems (default: None).
* **front** (*bool*) If True compose using right operator multiplication, instead of left multiplication \[default: False].
**Returns**
The composed SuperOp.
**Return type**
[SuperOp](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")
**Raises**
**QiskitError** if other cannot be converted to an operator, or has incompatible dimensions for specified subsystems.
<Admonition title="Note" type="note">
Composition (`&`) by default is defined as left matrix multiplication for matrix operators, while [`dot()`](qiskit.quantum_info.SuperOp#dot "qiskit.quantum_info.SuperOp.dot") is defined as right matrix multiplication. That is that `A & B == A.compose(B)` is equivalent to `B.dot(A)` when `A` and `B` are of the same type.
Setting the `front=True` kwarg changes this to right matrix multiplication and is equivalent to the [`dot()`](qiskit.quantum_info.SuperOp#dot "qiskit.quantum_info.SuperOp.dot") method `A.dot(B) == A.compose(B, front=True)`.
</Admonition>
</Function>
<span id="qiskit-quantum-info-superop-conjugate" />
### conjugate
<Function id="qiskit.quantum_info.SuperOp.conjugate" signature="SuperOp.conjugate()">
Return the conjugate quantum channel.
<Admonition title="Note" type="note">
This is equivalent to the matrix complex conjugate in the [`SuperOp`](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp") representation ie. for a channel $\mathcal{E}$, the SuperOp of the conjugate channel $\overline{{\mathcal{{E}}}}$ is $S_{\overline{\mathcal{E}^\dagger}} = \overline{S_{\mathcal{E}}}$.
</Admonition>
</Function>
<span id="qiskit-quantum-info-superop-copy" />
### copy
<Function id="qiskit.quantum_info.SuperOp.copy" signature="SuperOp.copy()">
Make a deep copy of current operator.
</Function>
<span id="qiskit-quantum-info-superop-dot" />
### dot
<Function id="qiskit.quantum_info.SuperOp.dot" signature="SuperOp.dot(other, qargs=None)">
Return the right multiplied operator self \* other.
**Parameters**
* **other** ([*Operator*](qiskit.quantum_info.Operator "qiskit.quantum_info.Operator")) an operator object.
* **qargs** (*list or None*) Optional, a list of subsystem positions to apply other on. If None apply on all subsystems (default: None).
**Returns**
The right matrix multiplied Operator.
**Return type**
[Operator](qiskit.quantum_info.Operator "qiskit.quantum_info.Operator")
</Function>
<span id="qiskit-quantum-info-superop-expand" />
### expand
<Function id="qiskit.quantum_info.SuperOp.expand" signature="SuperOp.expand(other)">
Return the reverse-order tensor product with another SuperOp.
**Parameters**
**other** ([*SuperOp*](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")) a SuperOp object.
**Returns**
**the tensor product $b \otimes a$, where $a$**
is the current SuperOp, and $b$ is the other SuperOp.
**Return type**
[SuperOp](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")
</Function>
<span id="qiskit-quantum-info-superop-input-dims" />
### input\_dims
<Function id="qiskit.quantum_info.SuperOp.input_dims" signature="SuperOp.input_dims(qargs=None)">
Return tuple of input dimension for specified subsystems.
</Function>
<span id="qiskit-quantum-info-superop-is-cp" />
### is\_cp
<Function id="qiskit.quantum_info.SuperOp.is_cp" signature="SuperOp.is_cp(atol=None, rtol=None)">
Test if Choi-matrix is completely-positive (CP)
</Function>
<span id="qiskit-quantum-info-superop-is-cptp" />
### is\_cptp
<Function id="qiskit.quantum_info.SuperOp.is_cptp" signature="SuperOp.is_cptp(atol=None, rtol=None)">
Return True if completely-positive trace-preserving (CPTP).
</Function>
<span id="qiskit-quantum-info-superop-is-tp" />
### is\_tp
<Function id="qiskit.quantum_info.SuperOp.is_tp" signature="SuperOp.is_tp(atol=None, rtol=None)">
Test if a channel is trace-preserving (TP)
</Function>
<span id="qiskit-quantum-info-superop-is-unitary" />
### is\_unitary
<Function id="qiskit.quantum_info.SuperOp.is_unitary" signature="SuperOp.is_unitary(atol=None, rtol=None)">
Return True if QuantumChannel is a unitary channel.
</Function>
<span id="qiskit-quantum-info-superop-output-dims" />
### output\_dims
<Function id="qiskit.quantum_info.SuperOp.output_dims" signature="SuperOp.output_dims(qargs=None)">
Return tuple of output dimension for specified subsystems.
</Function>
<span id="qiskit-quantum-info-superop-power" />
### power
<Function id="qiskit.quantum_info.SuperOp.power" signature="SuperOp.power(n)">
Return the power of the quantum channel.
**Parameters**
**n** (*float*) the power exponent.
**Returns**
the channel $\mathcal{{E}} ^n$.
**Return type**
[SuperOp](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")
**Raises**
**QiskitError** if the input and output dimensions of the SuperOp are not equal.
<Admonition title="Note" type="note">
For non-positive or non-integer exponents the power is defined as the matrix power of the [`SuperOp`](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp") representation ie. for a channel $\mathcal{{E}}$, the SuperOp of the powered channel $\mathcal{{E}}^\n$ is $S_{{\mathcal{{E}}^n}} = S_{{\mathcal{{E}}}}^n$.
</Admonition>
</Function>
<span id="qiskit-quantum-info-superop-reshape" />
### reshape
<Function id="qiskit.quantum_info.SuperOp.reshape" signature="SuperOp.reshape(input_dims=None, output_dims=None, num_qubits=None)">
Return a shallow copy with reshaped input and output subsystem dimensions.
**Parameters**
* **input\_dims** (*None or tuple*) new subsystem input dimensions. If None the original input dims will be preserved \[Default: None].
* **output\_dims** (*None or tuple*) new subsystem output dimensions. If None the original output dims will be preserved \[Default: None].
* **num\_qubits** (*None or int*) reshape to an N-qubit operator \[Default: None].
**Returns**
returns self with reshaped input and output dimensions.
**Return type**
BaseOperator
**Raises**
**QiskitError** if combined size of all subsystem input dimension or subsystem output dimensions is not constant.
</Function>
<span id="qiskit-quantum-info-superop-tensor" />
### tensor
<Function id="qiskit.quantum_info.SuperOp.tensor" signature="SuperOp.tensor(other)">
Return the tensor product with another SuperOp.
**Parameters**
**other** ([*SuperOp*](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")) a SuperOp object.
**Returns**
**the tensor product $a \otimes b$, where $a$**
is the current SuperOp, and $b$ is the other SuperOp.
**Return type**
[SuperOp](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp")
<Admonition title="Note" type="note">
The tensor product can be obtained using the `^` binary operator. Hence `a.tensor(b)` is equivalent to `a ^ b`.
</Admonition>
</Function>
<span id="qiskit-quantum-info-superop-to-instruction" />
### to\_instruction
<Function id="qiskit.quantum_info.SuperOp.to_instruction" signature="SuperOp.to_instruction()">
Convert to a Kraus or UnitaryGate circuit instruction.
If the channel is unitary it will be added as a unitary gate, otherwise it will be added as a kraus simulator instruction.
**Returns**
A kraus instruction for the channel.
**Return type**
[qiskit.circuit.Instruction](qiskit.circuit.Instruction "qiskit.circuit.Instruction")
**Raises**
**QiskitError** if input data is not an N-qubit CPTP quantum channel.
</Function>
<span id="qiskit-quantum-info-superop-to-operator" />
### to\_operator
<Function id="qiskit.quantum_info.SuperOp.to_operator" signature="SuperOp.to_operator()">
Try to convert channel to a unitary representation Operator.
</Function>
<span id="qiskit-quantum-info-superop-transpose" />
### transpose
<Function id="qiskit.quantum_info.SuperOp.transpose" signature="SuperOp.transpose()">
Return the transpose quantum channel.
<Admonition title="Note" type="note">
This is equivalent to the matrix transpose in the [`SuperOp`](qiskit.quantum_info.SuperOp "qiskit.quantum_info.SuperOp") representation, ie. for a channel $\mathcal{E}$, the SuperOp of the transpose channel $\mathcal{{E}}^T$ is $S_{mathcal{E}^T} = S_{\mathcal{E}}^T$.
</Admonition>
</Function>
## Attributes
### atol
<Attribute id="qiskit.quantum_info.SuperOp.atol" attributeValue="1e-08" />
### data
<Attribute id="qiskit.quantum_info.SuperOp.data">
Return data.
</Attribute>
### dim
<Attribute id="qiskit.quantum_info.SuperOp.dim">
Return tuple (input\_shape, output\_shape).
</Attribute>
### num\_qubits
<Attribute id="qiskit.quantum_info.SuperOp.num_qubits">
Return the number of qubits if a N-qubit operator or None otherwise.
</Attribute>
### qargs
<Attribute id="qiskit.quantum_info.SuperOp.qargs">
Return the qargs for the operator.
</Attribute>
### rtol
<Attribute id="qiskit.quantum_info.SuperOp.rtol" attributeValue="1e-05" />
### settings
<Attribute id="qiskit.quantum_info.SuperOp.settings">
Return operator settings.
</Attribute>
</Class>