Operations¶

`trueq.Operation`	Parent class of all primitive quantum operations.
`trueq.Gate`	Represents a unitary quantum gate.
`trueq.Meas`	A measurement of a single qubit in the computational basis.
`trueq.NativeGate`	A subclass of `Gate` which introduces metadata attributes.
`trueq.Prep`	A preparation of a single qubit into the ground state of the computational basis.

Operation¶

class trueq.Operation¶: Parent class of all primitive quantum operations.

Gate¶

class trueq.Gate(u)¶

Represents a unitary quantum gate.

import trueq as tq

tq.Gate([[0, 1], [1, 0]])

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Many standard gates are predefined as attributes:

import trueq as tq

print("All available predefined gate names:")
print(list(tq.Gate.ALIASES))

# Accessing a predefined gate:
tq.Gate.cx

All available predefined gate names:
['id', 'x', 'y', 'z', 'cx', 'cy', 'cz', 'swap', 'iswap', 'h', 's', 'sx', 'sy', 't', 'ch', 'i', 'sz', 'cnot', 'cliff0', 'cliff1', 'cliff2', 'cliff3', 'cliff4', 'cliff5', 'cliff6', 'cliff7', 'cliff8', 'cliff9', 'cliff10', 'cliff11', 'cliff12', 'cliff13', 'cliff14', 'cliff15', 'cliff16', 'cliff17', 'cliff18', 'cliff19', 'cliff20', 'cliff21', 'cliff22', 'cliff23']

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The static method from_generators() can be used to construct gates from Pauli rotations.

Note

Gates are not checked to be unitary on instantiation; call is_unitary manually to check.

Parameters: u (numpy.ndarray-like | dict) – A unitary matrix in the computational basis.

ALIASES = {'ch': Gate.ch, 'cliff0': Gate.id, 'cliff1': Gate.x, 'cliff10': Gate.cliff10, 'cliff11': Gate.cliff11, 'cliff12': Gate.h, 'cliff13': Gate.cliff13, 'cliff14': Gate.cliff14, 'cliff15': Gate.cliff15, 'cliff16': Gate.cliff16, 'cliff17': Gate.cliff17, 'cliff18': Gate.cliff18, 'cliff19': Gate.cliff19, 'cliff2': Gate.y, 'cliff20': Gate.cliff20, 'cliff21': Gate.cliff21, 'cliff22': Gate.cliff22, 'cliff23': Gate.cliff23, 'cliff3': Gate.z, 'cliff4': Gate.cliff4, 'cliff5': Gate.sx, 'cliff6': Gate.cliff6, 'cliff7': Gate.sy, 'cliff8': Gate.cliff8, 'cliff9': Gate.s, 'cnot': Gate.cx, 'cx': Gate.cx, 'cy': Gate.cy, 'cz': Gate.cz, 'h': Gate.h, 'i': Gate.id, 'id': Gate.id, 'iswap': Gate.iswap, 's': Gate.s, 'swap': Gate.swap, 'sx': Gate.sx, 'sy': Gate.sy, 'sz': Gate.s, 't': Gate.t, 'x': Gate.x, 'y': Gate.y, 'z': Gate.z}¶

A dictionary containing pre-defined gates where the keys are the gate names, for example CNOT, or H. Gates in this dictionary can be accessed using trueq.Gate.<gate_name>, for example:

import trueq as tq
tq.Gate.cx

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static from_generators(*args)¶

Constructs a Gate instance from rotations about Paulis. Specifically, the gate is constructed as \(exp(-1j * \sum_i (\pi\theta_i/180) P_i/ 2)\) where \(P_i\) are the input Pauli strings and \(\theta_i\) are the input rotation angles in degrees. This can be input either as an alternating sequence of Pauli strings and angles, or as a dict.

import trueq as tq

g1 = tq.Gate.from_generators("X", 90)
g2 = tq.Gate.from_generators("XX", 90, "YY", 180)
g3 = tq.Gate.from_generators({"XX": 90, "YY": 180})

g2

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Note

For rotations around a single Pauli term, it is faster to use rp().

Parameters: args – A dictionary mapping Pauli strings to angles in degrees, or an alternating sequence thereof.
Return type: Gate

get_alias(default=None)¶

Returns the first matching alias of the gate if possible, or default if no aliases are found.

Parameters: default (None | str) – A string to return if no alias is found for this gate. If no string is specified, None will be returned.
Returns: The alias of this gate if it exists, default otherwise.
Return type: str | None

property is_unitary¶

Whether or not this gate is unitary to numerical precision.

Type: bool

property is_identity¶

Whether or not this gate is the identity gate to numerical precision.

Type: bool

property mat¶

The matrix representation of this gate in the canonical basis.

Type: numpy.ndarray

property width¶

The number of columns of the matrix representation of this gate.

Type: int

property expansion¶

Assuming this gate acts on qubits, a sparse representation of this gate in terms of the trueq.math.frame.pauli_basis; a dictionary mapping Pauli strings to (complex) coefficients.

Type: dict

static from_alias(alias)¶

Returns a Gate from common names, such as CX, swap, H, S, etc.

Parameters: alias (str) – A string representing a common gate name found in the ALIASES dictionary, which stores available gates.
Return type: Gate
Raises: KeyError – If the gate is not found.

property generators¶

Assumes this gate acts on qubits and returns rotations about Pauli axes performed by this Gate. Specifically, outputs a description of this gate in the form: \(exp(-1j * \sum_i (\pi\theta_i/180) P_i/ 2)\) where \(P_i\) are the Pauli strings and \(\theta_i\) are the rotation angles in degrees.

import trueq as tq
import numpy as np

gens = tq.Gate.from_generators("X", 90, "Z", 20).generators
assert np.isclose(gens["X"], 90)
assert np.isclose(gens["Z"], 20)

Type: dict

property adj¶

A new Gate instance which is the conjugate transpose of this gate.

Type: Gate

static random(dim)¶

Generate a Haar random unitary gate of dimension dim.

Parameters: dim (int) – The dimension of the gate.
Return type: Gate

plot(abs_max=None, ax=None)¶

Plots the matrix representation of this gate.

Parameters

abs_max (None | float) – The value to scale absolute values of the matrix by; the value at which plotted colors become fully opaque. By default, this is the largest absolute magnitude of the input matrix.
ax (matplotlib.Axis) – An existing axis to plot on. If not given, a new figure will be created.

static rp(pauli, angle)¶

Construct a gate from a Pauli rotation by the specified angle.

import trueq as tq
import numpy as np

gens = tq.Gate.rp("XX", 10).generators
assert np.isclose(gens['XX'], 10)

Note

For single pauli rotations this is faster numerically than from_generators().

Parameters

pauli (str) – The Pauli axis of rotation.
angle (float) – The angle of the rotation in degrees.

Return type

Gate

static rx(angle)¶

Construct a gate from a Pauli X rotation by the specified angle.

import trueq as tq
import numpy as np

gens = tq.Gate.rx(10).generators
assert np.isclose(gens['X'], 10)

Parameters: angle (float) – The angle of the rotation in degrees.
Return type: Gate

static ry(angle)¶

Construct a gate from a Pauli Y rotation by the specified angle.

import trueq as tq
import numpy as np

gens = tq.Gate.ry(10).generators
assert np.isclose(gens['Y'], 10)

Parameters: angle (float) – The angle of the rotation in degrees.
Return type: Gate

static rz(angle)¶

Construct a gate from a Pauli Z rotation by the specified angle.

import trueq as tq
import numpy as np

gens = tq.Gate.rz(10).generators
assert np.isclose(gens['Z'], 10)

Parameters: angle (float) – The angle of the rotation in degrees.
Return type: Gate

Measurement¶

class trueq.Meas¶

A measurement of a single qubit in the computational basis.

This class holds no information, it allows a trueq.Circuit to keep track of where a measurement has taken place.

This is a singleton class; the constructor always yields the same instance.

Native Gate¶

class trueq.NativeGate(name, u, params=None)¶

A subclass of Gate which introduces metadata attributes.

name is a string giving a name to the gate.

(optional) parameters is a dictionary that maps parameter names to parameter values.

These attributes are entirely metadata; there are no automatic consistency checks between them and the matrix representation. The purpose of these attributes is to provide tools, such as transpilers to third-party circuit formats, with a fast method of identifying gates without introspecting matrices. This requires trust that these metadata were generated correctly and in good faith.

Native gates are typically (and most easily) constructed by GateFactorys, which are usually owned by Config objects.

import trueq as tq

config = tq.Config.basic()
config.sx()

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Native gates are not intended to be mutable, and the parameters and names should not be changed after instantiation.

Parameters

name (str) – Name of the gate operation.
u (dict) – See Gate.
params (dict) – Any parameters that the gate needs in order to be constructed.

static from_generators(name, *args, params=None)¶

Constructs a NativeGate instance from rotations about Paulis. Also adds a name and any parameters used to construct the native gate. Specifically, the output gate in this case is given by \(exp(-1j * \sum_i (\pi\theta_i/180) P_i/ 2)\) where \(P_i\) are the input Pauli strings and \(\theta_i\) are the input rotation angles in degrees. This can be input either as an alternating sequence of Pauli strings and angles, or as a dict.

import trueq as tq

g1 = tq.NativeGate.from_generators("name", "X", 90, params={"theta": 90})
g2 = tq.NativeGate.from_generators("name", "XX", 90, "YY", 180)
g3 = tq.NativeGate.from_generators("name", {"XX": 90, "YY": 180})

g1

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Parameters

name (str) – Name of the gate operation.
args – A dictionary mapping Pauli strings to angles in degrees, or an alternating sequence thereof.
params (dict) – Any parameters that the gate needs in order to be constructed.

Return type

NativeGate

property parameters¶

The stored parameters.

Type: dict

property name¶

The name of this native gate.

Type: str

Preparation¶

class trueq.Prep¶

A preparation of a single qubit into the ground state of the computational basis.

This class holds no information, it allows a trueq.Circuit to keep track of where a state preparation has taken place.

This is a singleton class; the constructor always yields the same instance.