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---
title: SparseVectorStateFn
description: API reference for qiskit.opflow.state_fns.SparseVectorStateFn
in_page_toc_min_heading_level: 1
python_api_type: class
python_api_name: qiskit.opflow.state_fns.SparseVectorStateFn
---
# SparseVectorStateFn
<Class id="qiskit.opflow.state_fns.SparseVectorStateFn" isDedicatedPage={true} github="https://github.com/qiskit/qiskit/tree/stable/0.45/qiskit/opflow/state_fns/sparse_vector_state_fn.py" signature="qiskit.opflow.state_fns.SparseVectorStateFn(*args, **kwargs)" modifiers="class">
Bases: [`StateFn`](qiskit.opflow.state_fns.StateFn "qiskit.opflow.state_fns.state_fn.StateFn")
Deprecated: A class for sparse state functions and measurements in vector representation.
This class uses `scipy.sparse.spmatrix` for the internal representation.
<Admonition title="Deprecated since version 0.24.0" type="danger">
The class `qiskit.opflow.state_fns.sparse_vector_state_fn.SparseVectorStateFn` is deprecated as of qiskit 0.24.0. It will be removed no earlier than 3 months after the release date. For code migration guidelines, visit [https://qisk.it/opflow\_migration](https://qisk.it/opflow_migration).
</Admonition>
**Parameters**
* **primitive** The underlying sparse vector.
* **coeff** A coefficient multiplying the state function.
* **is\_measurement** Whether the StateFn is a measurement operator
**Raises**
* [**ValueError**](https://docs.python.org/3/library/exceptions.html#ValueError "(in Python v3.12)") If the primitive is not a column vector.
* [**ValueError**](https://docs.python.org/3/library/exceptions.html#ValueError "(in Python v3.12)") If the number of elements in the primitive is not a power of 2.
## Attributes
### INDENTATION
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.INDENTATION" attributeValue="'  '" />
### coeff
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.coeff">
A coefficient by which the state function is multiplied.
</Attribute>
### instance\_id
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.instance_id">
Return the unique instance id.
</Attribute>
### is\_measurement
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.is_measurement">
Whether the StateFn object is a measurement Operator.
</Attribute>
### num\_qubits
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.num_qubits" />
### parameters
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.parameters" />
### primitive
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.primitive" attributeTypeHint="spmatrix">
The primitive which defines the behavior of the underlying State function.
</Attribute>
### settings
<Attribute id="qiskit.opflow.state_fns.SparseVectorStateFn.settings">
Return settings.
</Attribute>
## Methods
### add
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.add" signature="add(other)">
Return Operator addition of self and other, overloaded by `+`.
**Parameters**
**other** ([*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")) An `OperatorBase` with the same number of qubits as self, and in the same Operator, State function, or Measurement category as self (i.e. the same type of underlying function).
**Returns**
An `OperatorBase` equivalent to the sum of self and other.
**Return type**
[*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")
</Function>
### adjoint
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.adjoint" signature="adjoint()">
Return a new Operator equal to the Operators adjoint (conjugate transpose), overloaded by `~`. For StateFns, this also turns the StateFn into a measurement.
**Returns**
An `OperatorBase` equivalent to the adjoint of self.
**Return type**
[*SparseVectorStateFn*](#qiskit.opflow.state_fns.SparseVectorStateFn "qiskit.opflow.state_fns.sparse_vector_state_fn.SparseVectorStateFn")
</Function>
### equals
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.equals" signature="equals(other)">
Evaluate Equality between Operators, overloaded by `==`. Only returns True if self and other are of the same representation (e.g. a DictStateFn and CircuitStateFn will never be equal, even if their vector representations are equal), their underlying primitives are equal (this means for ListOps, OperatorStateFns, or EvolvedOps the equality is evaluated recursively downwards), and their coefficients are equal.
**Parameters**
**other** ([*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")) The `OperatorBase` to compare to self.
**Returns**
A bool equal to the equality of self and other.
**Return type**
[bool](https://docs.python.org/3/library/functions.html#bool "(in Python v3.12)")
</Function>
### eval
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.eval" signature="eval(front=None)">
Evaluate the Operators underlying function, either on a binary string or another Operator. A square binary Operator can be defined as a function taking a binary function to another binary function. This method returns the value of that function for a given StateFn or binary string. For example, `op.eval('0110').eval('1110')` can be seen as querying the Operators matrix representation by row 6 and column 14, and will return the complex value at those “indices.” Similarly for a StateFn, `op.eval('1011')` will return the complex value at row 11 of the vector representation of the StateFn, as all StateFns are defined to be evaluated from Zero implicitly (i.e. it is as if `.eval('0000')` is already called implicitly to always “indexing” from column 0).
If `front` is None, the matrix-representation of the operator is returned.
**Parameters**
**front** ([*str*](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.12)") *|*[*Dict*](https://docs.python.org/3/library/typing.html#typing.Dict "(in Python v3.12)")*\[*[*str*](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.12)")*,* [*complex*](https://docs.python.org/3/library/functions.html#complex "(in Python v3.12)")*] |* [*ndarray*](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray "(in NumPy v1.26)") *|*[*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase") *|*[*Statevector*](qiskit.quantum_info.Statevector "qiskit.quantum_info.states.statevector.Statevector") *| None*) The bitstring, dict of bitstrings (with values being coefficients), or StateFn to evaluated by the Operators underlying function, or None.
**Returns**
The output of the Operators evaluation function. If self is a `StateFn`, the result is a float or complex. If self is an Operator (`PrimitiveOp, ComposedOp, SummedOp, EvolvedOp,` etc.), the result is a StateFn. If `front` is None, the matrix-representation of the operator is returned, which is a `MatrixOp` for the operators and a `VectorStateFn` for state-functions. If either self or front contain proper `ListOps` (not ListOp subclasses), the result is an n-dimensional list of complex or StateFn results, resulting from the recursive evaluation by each OperatorBase in the ListOps.
**Return type**
[*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase") | [complex](https://docs.python.org/3/library/functions.html#complex "(in Python v3.12)")
</Function>
### primitive\_strings
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.primitive_strings" signature="primitive_strings()">
Return a set of strings describing the primitives contained in the Operator. For example, `{'QuantumCircuit', 'Pauli'}`. For hierarchical Operators, such as `ListOps`, this can help illuminate the primitives represented in the various recursive levels, and therefore which conversions can be applied.
**Returns**
A set of strings describing the primitives contained within the Operator.
**Return type**
[*Set*](https://docs.python.org/3/library/typing.html#typing.Set "(in Python v3.12)")\[[str](https://docs.python.org/3/library/stdtypes.html#str "(in Python v3.12)")]
</Function>
### sample
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.sample" signature="sample(shots=1024, massive=False, reverse_endianness=False)">
Sample the state function as a normalized probability distribution. Returns dict of bitstrings in order of probability, with values being probability.
**Parameters**
* **shots** ([*int*](https://docs.python.org/3/library/functions.html#int "(in Python v3.12)")) The number of samples to take to approximate the State function.
* **massive** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.12)")) Whether to allow large conversions, e.g. creating a matrix representing over 16 qubits.
* **reverse\_endianness** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.12)")) Whether to reverse the endianness of the bitstrings in the return dict to match Terras big-endianness.
**Returns**
A dict containing pairs sampled strings from the State function and sampling frequency divided by shots.
**Return type**
[dict](https://docs.python.org/3/library/stdtypes.html#dict "(in Python v3.12)")
</Function>
### to\_circuit\_op
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.to_circuit_op" signature="to_circuit_op()">
Convert this state function to a `CircuitStateFn`.
**Return type**
[*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")
</Function>
### to\_dict\_fn
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.to_dict_fn" signature="to_dict_fn()">
Convert this state function to a `DictStateFn`.
**Returns**
A new DictStateFn equivalent to `self`.
**Return type**
[*StateFn*](qiskit.opflow.state_fns.StateFn "qiskit.opflow.state_fns.state_fn.StateFn")
</Function>
### to\_matrix
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.to_matrix" signature="to_matrix(massive=False)">
Return NumPy representation of the Operator. Represents the evaluation of the Operators underlying function on every combination of basis binary strings. Warn if more than 16 qubits to force having to set `massive=True` if such a large vector is desired.
**Returns**
The NumPy `ndarray` equivalent to this Operator.
**Return type**
[*ndarray*](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray "(in NumPy v1.26)")
</Function>
### to\_matrix\_op
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.to_matrix_op" signature="to_matrix_op(massive=False)">
Return a `VectorStateFn` for this `StateFn`.
**Parameters**
**massive** ([*bool*](https://docs.python.org/3/library/functions.html#bool "(in Python v3.12)")) Whether to allow large conversions, e.g. creating a matrix representing over 16 qubits.
**Returns**
A VectorStateFn equivalent to self.
**Return type**
[*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")
</Function>
### to\_spmatrix
<Function id="qiskit.opflow.state_fns.SparseVectorStateFn.to_spmatrix" signature="to_spmatrix()">
Return SciPy sparse matrix representation of the Operator. Represents the evaluation of the Operators underlying function on every combination of basis binary strings.
**Returns**
The SciPy `spmatrix` equivalent to this Operator.
**Return type**
[*OperatorBase*](qiskit.opflow.OperatorBase "qiskit.opflow.operator_base.OperatorBase")
</Function>
</Class>