ClassicalRegister class

AerStatevector class This class inherits :class:`Statevector`, which stores probability amplitudes in its `ndarray`. class:`AerStatevector` g

Class for errors raised in qiskit_aer.noise package.

AerDensityMatrix class This class inherits :class:`DensityMatrix`.

predifine NoiseModel here for passing noise model to State::apply_ops

Base class for errors raised by simulators.

Noisy quantum circuit simulator backend. **Configurable Options** The `AerSimulator` supports multiple simulation methods and confi

r"""A Pauli channel generated by a Pauli Lindblad dissipator. This operator represents an N-qubit quantum error channel :math:`E(ρ) = e^{\sum

r"""A Pauli channel quantum error. This represents an N-qubit quantum error channel :math:`E(ρ) = \sum_j p_j P_j ρ P_j` where :math:`P_j` are

Aer result backwards compatibility wrapper for qiskit Operator.

Internal class to access state of Aer.

Aer implementation of SamplerV2 class. Each tuple of ``(circuit, <optional> parameter values, <optional> shots)``, called a sampler prim

Quantum error class for Aer noise model .. warning:: The init interface for this class is not finalized and may ch

Aer result backwards compatibility wrapper for qiskit Statevector.

Aer result backwards compatibility wrapper for qiskit SuperOp.

Aer implementation of Estimator. :Run Options: - **shots** (None or int) -- The number of shots. If None and approximation

Readout error class for Aer noise model.

Evaluates expectation values for provided quantum circuit and observable combinations. Run a fast simulation using Aer. Sampling from a norma

Jump instruction This instruction sets a program counter to specified mark instruction.

Aer implementation of Sampler class. :Run Options: - **shots** (None or int) -- The number of shots. If None, it calculat

Mark instruction This instruction is a destination of jump instruction. Conditional is not allowed in Aer controller.

Add duration dependent thermal relaxation noise after instructions.

Save expectation value of an operator.

Save expectation value and variance of an operator.

Options for :class:`~.SamplerV2`.

Transpiler pass to insert noise into a circuit. The noise in this pass is defined by a noise function or callable with signature .. code:: p

Save complex statevector amplitudes.

Aer result backwards compatibility wrapper for qiskit DensityMatrix.

Provider for Aer backends.

Noise model class for Aer simulators. This class is used to represent noise model for the :class:`~qiskit_aer.QasmSimulator`. It can be used

This class is used to store type information about a set of operations.

Save statevector

Convert from Expr objects to corresponding objects.

Class representing an Aer Backend Configuration. Attributes: backend_name: backend name. backend_version: backend version in the

A circuit is a list of Ops along with a specification of maximum needed qubits, memory bits, and register bits for the input operators.

Options for :class:`~.EstimatorV2`.

Helper with paths commonly used during the tests.

Ideal quantum circuit statevector simulator **Configurable Options** The `StatevectorSimulator` supports CPU and GPU simulation methods and

Aer Compiler to convert instructions of control-flow to mark and jump instructions

AerJob class for Aer Simulators.

Store instruction for Aer to work around transpilation issue of qiskit.circuit.Store

A backend with `t2 > 2*t1` due to awkward calibration statistics.

A class used to represent a dictionary header in circuit objects.

Noisy quantum circuit simulator backend. **Configurable Options** The `QasmSimulator` supports multiple simulation methods and conf

Container instruction for adding BaseQuantumError to circuit

Instruction for referencing a multi-qubit error in a NoiseModel

Save squared statevector amplitudes (probabilities).

Save Clifford instruction

Save a reduced density matrix.

Save matrix product state instruction

Save measurement outcome probabilities vector.

Save measurement outcome probabilities dict.

Save Stabilizer instruction

Save simulator state The format of the saved state depends on the simulation method used.

Save statevector as ket-form dictionary.

Save a SuperOp matrix.

Save Unitary