qiskit.quantum_info.CNOTDihedral

class CNOTDihedral(data=None, num_qubits=None, validate=True)

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An N-qubit operator from the CNOT-Dihedral group.

The CNOT-Dihedral group is generated by the quantum gates, CXGate, TGate, and XGate.

Representation

An $N$ -qubit CNOT-Dihedral operator is stored as an affine function and a phase polynomial, based on the convention in references [1, 2].

The affine function consists of an $N \times N$ invertible binary matrix, and an $N$ binary vector.

The phase polynomial is a polynomial of degree at most 3, in $N$ variables, whose coefficients are in the ring Z_8 with 8 elements.
from qiskit import QuantumCircuit
from qiskit.quantum_info import CNOTDihedral
 
circ = QuantumCircuit(3)
circ.cx(0, 1)
circ.x(2)
circ.t(1)
circ.t(1)
circ.t(1)
elem = CNOTDihedral(circ)
 
# Print the CNOTDihedral element
print(elem)
phase polynomial = 
0 + 3*x_0 + 3*x_1 + 2*x_0*x_1
affine function = 
 (x_0,x_0 + x_1,x_2 + 1)

Circuit Conversion

$CNOTDihedral operators can be initialized from circuits containing only the following gates: IGate, XGate, YGate, ZGate, TGate, TdgGate SGate, SdgGate, CXGate, CZGate, SwapGate . They can be converted back into a QuantumCircuit, or Gate object using the to_circuit() or to_instruction() methods respectively. Note that this decomposition is not necessarily optimal in terms of number of gates if the number of qubits is more than two.$ $CNOTDihedral operators can also be converted to Operator objects using the to_operator() method. This is done via decomposing to a circuit, and then simulating the circuit as a unitary operator.$ $References:$

Shelly Garion and Andrew W. Cross, Synthesis of CNOT-Dihedral circuits with optimal number of two qubit gates, Quantum 4(369), 2020

Andrew W. Cross, Easwar Magesan, Lev S. Bishop, John A. Smolin and Jay M. Gambetta, Scalable randomised benchmarking of non-Clifford gates, npj Quantum Inf 2, 16012 (2016).

Initialize a CNOTDihedral operator object.

Parameters

data (CNOTDihedral orQuantumCircuit orInstruction) – Optional, operator to initialize.
num_qubits (int) – Optional, initialize an empty CNOTDihedral operator.
validate (bool) – if True, validates the CNOTDihedral element.

Raises

QiskitError – if the type is invalid.
QiskitError – if validate=True and the CNOTDihedral element is invalid.

init

__init__(data=None, num_qubits=None, validate=True)

Initialize a CNOTDihedral operator object.

Parameters

data (CNOTDihedral orQuantumCircuit orInstruction) – Optional, operator to initialize.
num_qubits (int) – Optional, initialize an empty CNOTDihedral operator.
validate (bool) – if True, validates the CNOTDihedral element.

Raises

QiskitError – if the type is invalid.
QiskitError – if validate=True and the CNOTDihedral element is invalid.

Methods


`__init__`([data, num_qubits, validate])	Initialize a CNOTDihedral operator object.
`adjoint`()	Return the adjoint of the Operator.
`compose`(other[, qargs, front])	Return the operator composition with another CNOTDihedral.
`conjugate`()	Return the conjugate of the CNOTDihedral.
`copy`()	Make a deep copy of current operator.
`dot`(other[, qargs])	Return the right multiplied operator self * other.
`expand`(other)	Return the reverse-order tensor product with another CNOTDihedral.
`input_dims`([qargs])	Return tuple of input dimension for specified subsystems.
`output_dims`([qargs])	Return tuple of output dimension for specified subsystems.
`power`(n)	Return the compose of a operator with itself n times.
`reshape`([input_dims, output_dims, num_qubits])	Return a shallow copy with reshaped input and output subsystem dimensions.
`tensor`(other)	Return the tensor product with another CNOTDihedral.
`to_circuit`()	Return a QuantumCircuit implementing the CNOT-Dihedral element.
`to_instruction`()	Return a Gate instruction implementing the CNOTDihedral object.
`to_matrix`()	Convert operator to Numpy matrix.
`to_operator`()	Convert to an Operator object.
`transpose`()	Return the transpose of the CNOTDihedral.

Attributes


`dim`	Return tuple (input_shape, output_shape).
`num_qubits`	Return the number of qubits if a N-qubit operator or None otherwise.
`qargs`	Return the qargs for the operator.

adjoint

adjoint()

Return the adjoint of the Operator.

compose

compose(other, qargs=None, front=False)

Return the operator composition with another CNOTDihedral.

Parameters

other (CNOTDihedral) – a CNOTDihedral 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 CNOTDihedral.

Return type

CNOTDihedral

Raises

QiskitError - if other cannot be converted to an operator, or has incompatible dimensions for specified subsystems.

Note

Composition (&) by default is defined as left matrix multiplication for matrix operators, while 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() method A.dot(B) == A.compose(B, front=True) .

conjugate

conjugate()

Return the conjugate of the CNOTDihedral.

copy

copy()

Make a deep copy of current operator.

dim

Return tuple (input_shape, output_shape).

dot

dot(other, qargs=None)

Return the right multiplied operator self * other.

Parameters

other (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

expand

expand(other)

Return the reverse-order tensor product with another CNOTDihedral.

Parameters

other (CNOTDihedral) - a CNOTDihedral object.

Returns

b \otimes a

b

Return type

CNOTDihedral

input_dims

input_dims(qargs=None)

Return tuple of input dimension for specified subsystems.

num_qubits

Return the number of qubits if a N-qubit operator or None otherwise.

output_dims

output_dims(qargs=None)

Return tuple of output dimension for specified subsystems.

power

power(n)

Return the compose of a operator with itself n times.

Parameters

n (int) - the number of times to compose with self (n>0).

Returns

the n-times composed operator.

Return type

Pauli

Raises

QiskitError - if the input and output dimensions of the operator are not equal, or the power is not a positive integer.

qargs

Return the qargs for the operator.

reshape

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.

tensor

tensor(other)

Return the tensor product with another CNOTDihedral.

Parameters

other (CNOTDihedral) - a CNOTDihedral object.

Returns

a \otimes b

b

Return type

CNOTDihedral

Note

The tensor product can be obtained using the^binary operator. Hence a.tensor(b) is equivalent to a ^ b .

to_circuit

to_circuit()

Return a QuantumCircuit implementing the CNOT-Dihedral element.

Returns

a circuit implementation of the CNOTDihedral object.

Return type

QuantumCircuit

References

Shelly Garion and Andrew W. Cross, Synthesis of CNOT-Dihedral circuits with optimal number of two qubit gates, Quantum 4(369), 2020
Andrew W. Cross, Easwar Magesan, Lev S. Bishop, John A. Smolin and Jay M. Gambetta, Scalable randomised benchmarking of non-Clifford gates, npj Quantum Inf 2, 16012 (2016).

to_instruction

to_instruction()

Return a Gate instruction implementing the CNOTDihedral object.

to_matrix

to_matrix()

Convert operator to Numpy matrix.

to_operator

to_operator()

Convert to an Operator object.

transpose

transpose()

Return the transpose of the CNOTDihedral.

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