# HamiltonianGate

`qiskit.circuit.library.HamiltonianGate(data, time, label=None)`

GitHub(opens in a new tab)

Bases: `Gate`

Class for representing evolution by a Hamiltonian operator as a gate.

This gate resolves to a `UnitaryGate`

as $U(t) = \exp(-i t H)$, which can be decomposed into basis gates if it is 2 qubits or less, or simulated directly in Aer for more qubits.

**Parameters**

**data**(*np.ndarray |**Gate**| BaseOperator*) – A hermitian operator.**time**(*float*(opens in a new tab)*|**ParameterExpression*) – Time evolution parameter.**label**(*str*(opens in a new tab)*| None*) – Unitary name for backend [Default:`None`

].

**Raises**

**ValueError**(opens in a new tab) – if input data is not an N-qubit unitary operator.

## Attributes

### base_class

Get the base class of this instruction. This is guaranteed to be in the inheritance tree of `self`

.

The “base class” of an instruction is the lowest class in its inheritance tree that the object should be considered entirely compatible with for _all_ circuit applications. This typically means that the subclass is defined purely to offer some sort of programmer convenience over the base class, and the base class is the “true” class for a behavioural perspective. In particular, you should *not* override `base_class`

if you are defining a custom version of an instruction that will be implemented differently by hardware, such as an alternative measurement strategy, or a version of a parametrised gate with a particular set of parameters for the purposes of distinguishing it in a `Target`

from the full parametrised gate.

This is often exactly equivalent to `type(obj)`

, except in the case of singleton instances of standard-library instructions. These singleton instances are special subclasses of their base class, and this property will return that base. For example:

```
>>> isinstance(XGate(), XGate)
True
>>> type(XGate()) is XGate
False
>>> XGate().base_class is XGate
True
```

In general, you should not rely on the precise class of an instruction; within a given circuit, it is expected that `Instruction.name`

should be a more suitable discriminator in most situations.

### condition

The classical condition on the instruction.

### condition_bits

Get Clbits in condition.

### decompositions

Get the decompositions of the instruction from the SessionEquivalenceLibrary.

### definition

Return definition in terms of other basic gates.

### duration

Get the duration.

### label

Return instruction label

### mutable

Is this instance is a mutable unique instance or not.

If this attribute is `False`

the gate instance is a shared singleton and is not mutable.

### name

Return the name.

### num_clbits

Return the number of clbits.

### num_qubits

Return the number of qubits.

### params

return instruction params.

### unit

Get the time unit of duration.

## Methods

### adjoint

`adjoint()`

Return the adjoint of the unitary.

### conjugate

`conjugate()`

Return the conjugate of the Hamiltonian.

### inverse

`inverse(annotated=False)`

Return the adjoint of the unitary.

### transpose

`transpose()`

Return the transpose of the Hamiltonian.

### validate_parameter

`validate_parameter(parameter)`

Hamiltonian parameter has to be an ndarray, operator or float.