PowerGate

class PowerGate(gate, power=1)[source]

Bases: ComposedGate, DifferentiableUnitary

An arbitrary inverted gate.

The PowerGate is a composed gate that equivalent to the integer power of the input gate.

Examples

>>> from bqskit.ir.gates import TGate, TdgGate
>>> PowerGate(TGate(),2).get_unitary() ==
   TdgGate().get_unitary()*TdgGate().get_unitary()
True
__init__(gate, power=1)[source]

Create a gate which is the integer power of the input gate.

Parameters:
  • gate (Gate) – The Gate to conjugate transpose.

  • power (int) – The power index for the PowerGate.

Attributes

dim

The matrix dimension for this unitary.

name

The name of this gate.

num_params

The number of real parameters this unitary-valued function takes.

num_qudits

The number of qudits this unitary can act on.

qasm_name

The qasm identifier for this gate.

radixes

The number of orthogonal states for each qudit.

Methods

check_parameters(params)

Check parameters are valid and match the unitary.

get_grad([params])

Return the gradient for this gate.

get_inverse()

Return the gate's inverse as a gate.

get_inverse_params([params])

Return the parameters that invert the gate.

get_qasm(params, location)

Returns the qasm string for this gate.

get_qasm_gate_def()

Returns a qasm gate definition block for this gate.

get_unitary([params])

Return the unitary for this gate, see Unitary for more.

get_unitary_and_grad([params])

Return the unitary and gradient for this gate.

is_constant()

Return true if this unitary doesn't take parameters.

is_differentiable()

Check if all sub gates are differentiable.

is_locally_optimizable()

Check if all sub gates are locally optimizable.

is_parameterized()

Return true if this unitary is parameterized.

is_qubit_only()

Return true if this unitary can only act on qubits.

is_qudit_only(radix)

Return true if this unitary can only act on radix-qudits.

is_qutrit_only()

Return true if this unitary can only act on qutrits.

is_self_inverse([params])

Checks whether the unitary is its own inverse.

with_all_frozen_params(params)

Freeze all of a gate's parameters so they don't change from optimization.

with_frozen_params(frozen_params)

Freeze some of a gate's parameters so they don't change from optimization.