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LinearPauliRotations

qiskit.circuit.library.LinearPauliRotations(num_state_qubits=None, slope=1, offset=0, basis='Y', name='LinRot')GitHub(opens in a new tab)

Bases: FunctionalPauliRotations

Linearly-controlled X, Y or Z rotation.

For a register of state qubits x|x\rangle, a target qubit 0|0\rangle and the basis 'Y' this circuit acts as:

    q_0: ─────────────────────────■───────── ... ──────────────────────

                                  .

q_(n-1): ─────────────────────────┼───────── ... ───────────■──────────
          ┌────────────┐  ┌───────┴───────┐       ┌─────────┴─────────┐
    q_n: ─┤ RY(offset) ├──┤ RY(2^0 slope) ├  ...  ┤ RY(2^(n-1) slope)
          └────────────┘  └───────────────┘       └───────────────────┘

This can for example be used to approximate linear functions, with a=a = slope/2/2 and b=b = offset/2/2 and the basis 'Y':

x0cos(ax+b)x0+sin(ax+b)x1|x\rangle |0\rangle \mapsto \cos(ax + b)|x\rangle|0\rangle + \sin(ax + b)|x\rangle |1\rangle

Since for small arguments sin(x)x\sin(x) \approx x this operator can be used to approximate linear functions.

Create a new linear rotation circuit.

Parameters


Attributes

ancillas

Returns a list of ancilla bits in the order that the registers were added.

basis

The kind of Pauli rotation to be used.

Set the basis to ‘X’, ‘Y’ or ‘Z’ for controlled-X, -Y, or -Z rotations respectively.

Returns

The kind of Pauli rotation used in controlled rotation.

calibrations

Return calibration dictionary.

The custom pulse definition of a given gate is of the form {'gate_name': {(qubits, params): schedule}}

clbits

Returns a list of classical bits in the order that the registers were added.

data

global_phase

Return the global phase of the current circuit scope in radians.

instances

= 196

layout

Return any associated layout information about the circuit

This attribute contains an optional TranspileLayout object. This is typically set on the output from transpile() or PassManager.run() to retain information about the permutations caused on the input circuit by transpilation.

There are two types of permutations caused by the transpile() function, an initial layout which permutes the qubits based on the selected physical qubits on the Target, and a final layout which is an output permutation caused by SwapGates inserted during routing.

metadata

The user provided metadata associated with the circuit.

The metadata for the circuit is a user provided dict of metadata for the circuit. It will not be used to influence the execution or operation of the circuit, but it is expected to be passed between all transforms of the circuit (ie transpilation) and that providers will associate any circuit metadata with the results it returns from execution of that circuit.

num_ancilla_qubits

The minimum number of ancilla qubits in the circuit.

Returns

The minimal number of ancillas required.

num_ancillas

Return the number of ancilla qubits.

num_clbits

Return number of classical bits.

num_parameters

num_qubits

Return number of qubits.

num_state_qubits

The number of state qubits representing the state x|x\rangle.

Returns

The number of state qubits.

offset

The angle of the single qubit offset rotation on the target qubit.

Before applying the controlled rotations, a single rotation of angle offset is applied to the target qubit.

Returns

The offset angle.

op_start_times

Return a list of operation start times.

This attribute is enabled once one of scheduling analysis passes runs on the quantum circuit.

Returns

List of integers representing instruction start times. The index corresponds to the index of instruction in QuantumCircuit.data.

Raises

AttributeError(opens in a new tab) – When circuit is not scheduled.

parameters

prefix

= 'circuit'

qregs

list[QuantumRegister]

A list of the quantum registers associated with the circuit.

qubits

Returns a list of quantum bits in the order that the registers were added.

slope

The multiplicative factor in the rotation angle of the controlled rotations.

The rotation angles are slope * 2^0, slope * 2^1, … , slope * 2^(n-1) where n is the number of state qubits.

Returns

The rotation angle common in all controlled rotations.

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