mindquantum.core.operators.QubitOperator

class mindquantum.core.operators.QubitOperator(terms: Union[str, 'QubitOperator'] = None, coefficient: PRConvertible = 1.0, internal: bool = False)

A sum of terms acting on qubits, e.g., 0.5 * ‘X1 X5’ + 0.3 * ‘Z1 Z2’.

A term is an operator acting on n qubits and can be represented as: coefficient * local_operator[0] x … x local_operator[n-1] where x is the tensor product. A local operator is a Pauli operator (‘I’, ‘X’, ‘Y’, or ‘Z’) which acts on one qubit. In mathematical notation a QubitOperator term is, for example, 0.5 * ‘X1 X5’, which means that a Pauli X operator acts on qubit 1 and 5, while the identity operator acts on all the rest qubits.

Note that a Hamiltonian composed of QubitOperators should be a hermitian operator, thus requires the coefficients of all terms must be real.

QubitOperator has the following attributes set as follows: operators = (‘X’, ‘Y’, ‘Z’), different_indices_commute = True.

Parameters

• term (Union[str, QubitOperator]) – The input term of qubit operator. Default: None.

• coefficient (Union[numbers.Number, str, Dict[str, numbers.Number], ParameterResolver]) – The coefficient of this qubit operator, could be a number or a variable represent by a string or a symbol or a parameter resolver. Default: 1.0.

• internal (bool) – Whether the first argument is internal c++ object of QubitOperator or not. Default: False.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> ham = ((QubitOperator('X0 Y3', 0.5)
...         + 0.6 * QubitOperator('X0 Y3')))
>>> ham2 = QubitOperator('X0 Y3', 0.5)
>>> ham2 += 0.6 * QubitOperator('X0 Y3')
>>> ham2
1.1 [Y3 X0]
>>> ham3 = QubitOperator('')
>>> ham3
1 []
>>> ham_para = QubitOperator('X0 Y3', 'x')
>>> ham_para
x [Y3 X0]
>>> ham_para.subs({'x':1.2})
1.2 [Y3 X0]

astype(dtype)

Convert to different data type.

Note

Converting a complex type QubitOperator to real type will ignore the image part of coefficient.

Parameters

dtype (mindquantum.dtype) – new data type of fermion operator.

Returns

QubitOperator, new fermion operator with given data type.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> import mindquantum as mq
>>> f = QubitOperator('X0', 2 + 3j)
>>> f.dtype
mindquantum.complex128
>>> f.astype(mq.float64)
2 [X0]

cast_complex()

Cast a QubitOperator into its complex equivalent.

compress(abs_tol=EQ_TOLERANCE)

Eliminate the very small pauli string that close to zero.

Parameters

abs_tol (float) – Absolute tolerance, must be at least 0.0. Default: EQ_TOLERANCE.

Returns

QubitOperator, the compressed operator.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> ham_compress = QubitOperator('X0 Y1', 0.5) + QubitOperator('Z1 X3', 1e-7)
>>> ham_compress
1/2 [Y1 X0] +
1/10000000 [X3 Z1]
>>> ham_compress.compress(1e-6)
1/2 [Y1 X0]
>>> ham_para_compress =  QubitOperator('X0 Y1', 0.5) + QubitOperator('Z5', 'X')
>>> ham_para_compress
1/2 [Y1 X0] +
X [Z5]
>>> ham_para_compress.compress(1e-7)
1/2 [Y1 X0] +
X [Z5]

count_gates()

Return the gate number when treated in single Hamiltonian.

Returns

int, number of the single qubit quantum gates.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> a = QubitOperator("X0 Y1") + QubitOperator("X2 Z3")
>>> a.count_gates()
4

count_qubits()

Calculate the number of qubits on which operator acts before removing the unused qubit.

Returns

int, the qubits number before remove unused qubit.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> a = QubitOperator("Z0 Y3")
>>> a.count_qubits()
4

property dtype

Get the data type of QubitOperator.

dumps(indent: int = 4)

Dump a QubitOperator into JSON(JavaScript Object Notation).

Parameters

indent (int) – Then JSON array elements and object members will be pretty-printed with that indent level. Default: 4.

Returns

JSON (str), the JSON strings of this QubitOperator

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> f = QubitOperator('0', 1 + 2j) + QubitOperator('0^', 'a')
>>> len(f.dumps())
581

static from_openfermion(of_ops)

Convert qubit operator from openfermion to mindquantum format.

Parameters

of_ops (openfermion.QubitOperator) – Qubit operator from openfermion.

Returns

QubitOperator, qubit operator from mindquantum.

get_coeff(term)

Get coefficient of given term.

Parameters

term (List[Tuple[int, Union[int, str]]]) – the term you want get coefficient.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> q = QubitOperator('X0 Y1', 1.2)
>>> q.get_coeff([(1, 'Y'), (0, 'X')])
ParameterResolver(dtype: float64, const: 1.200000)

hermitian()

Get the hermitian of a QubitOperator.

Returns

QubitOperator, the hermitian of this QubitOperator.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> a = QubitOperator("X0 Y1", {"a": 1 + 2j})
>>> a.hermitian()
(-1 + 2j)*a [1 0^]

property imag

Convert the coefficient to its imag part.

Returns

QubitOperator, the imag part of this qubit operator.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> f = QubitOperator('X0', 1 + 2j) + QubitOperator('Y0', 'a')
>>> f.imag.compress()
2 [X0]

property is_complex: bool

Return whether the QubitOperator instance is currently using complex coefficients.

property is_singlet: bool

To verify whether this operator has only one term.

Returns

bool, whether this operator has only one term.

static loads(strs: str)

Load JSON(JavaScript Object Notation) into a QubitOperator.

Parameters

strs (str) – The dumped fermion operator string.

Returns

QubitOperator, the QubitOperator loaded from JSON-formatted strings.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> f = QubitOperator('0', 1 + 2j) + QubitOperator('0^', 'a')
>>> obj = QubitOperator.loads(f.dumps())
>>> obj == f
True

matrix(n_qubits: int = None, pr=None)

Convert this qubit operator to csr_matrix.

Parameters

• n_qubits (int) – The total qubits of final matrix. If None, the value will be the maximum local qubit number. Default: None.

• pr (ParameterResolver, dict, numpy.ndarray, list, numbers.Number) – The parameter resolver for parameterized QubitOperator. Default: None.

property parameterized: bool

Check whether this QubitOperator is parameterized.

property params_name

Get all parameters of this operator.

property real

Convert the coefficient to its real part.

Returns

QubitOperator, the real part of this qubit operator.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> f = QubitOperator('X0', 1 + 2j) + QubitOperator('Y0', 'a')
>>> f.real.compress()
1 [X0] +
a [Y0]

relabel(logic_qubits: List[int])

Relabel the qubit according to the given logic qubits order.

Parameters

logic_qubits (List[int]) – The label of logic qubits. For example, if logic_qubits is [2, 0, 1], original qubit 0 will label as 2.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> o = QubitOperator('Z0 Y1 X2 Z3')
>>> o
1 [Z0 Y1 X2 Z3]
>>> o.relabel([1, 3, 0, 2])
1 [X0 Z1 Z2 Y3]

singlet()

Split the single string operator into every word.

Returns

List[QubitOperator], The split word of the string.

Raises

RuntimeError – if the size of terms is not equal to 1.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> ops = QubitOperator("1^ 2", 1)
>>> print(ops.singlet())
[1 [2], 1 [1^]]

singlet_coeff()

Get the coefficient of this operator, if the operator has only one term.

Returns

ParameterResolver, the coefficient of this single string operator.

Raises

RuntimeError – if the size of terms is not equal to 1.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> ops = QubitOperator("X0 Y1", "a")
>>> print(ops)
-a [2 1^]
>>> print(ops.singlet_coeff())
-a

property size: int

Return the number of terms of this QubitOperator.

split()

Split the coefficient and the operator.

Returns

List[List[ParameterResolver, QubitOperator]], the split result.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> a = QubitOperator('X0', 'a') + QubitOperator('Z1', 1.2)
>>> for i, j in a.split():
...     print(f"{i}, {j}")
a, 1 [X0]
1.2, 1 [Z1]

subs(params_value: PRConvertible)

Replace the symbolical representation with the corresponding value.

Parameters

params_value (Union[Dict[str, numbers.Number], ParameterResolver]) – the value of variable in coefficient.

Examples

>>> from mindquantum.core.operators import QubitOperator
>>> from mindquantum.core.parameterresolver import ParameterResolver
>>> q = QubitOperator('X0', ParameterResolver({'a': 2.0}, 3.0))
>>> q
2*a + 3 [X0]
>>> q.subs({'a': 1.5})
6 [X0]

property terms: Dict[Tuple[int, str], mindquantum.core.parameterresolver.parameterresolver.ParameterResolver]

Get the terms of a QubitOperator.

to_openfermion()

Convert qubit operator to openfermion format.