Parameters

Some of the Classiq engine's built-in functions can work on parameters (for example, rotation gates).
This page describes to provide and use them.

Using Strings

Provide the parameters to the functions using str.

Single Parameter Example

You can provide a single parameter.

Textual ModelSDK

    {
        "logic_flow": [
            {
                "function": "RZGate",
                "function_params": {
                    "phi": "x"
                }
            }
        ]
    }

from classiq import Model
from classiq.builtin_functions import RZGate

model = Model()
rz_params = RZGate(phi="x")
model.RZGate(rz_params)
model.synthesize()

Parameter Expression Example

You can also provide parameter expressions.

Textual ModelSDK

    {
        "logic_flow": [
            {
                "function": "RZGate",
                "function_params": {
                    "phi": "(2 * (x + y)) / 3"
                }
            }
        ]
    }

from classiq import Model
from classiq.builtin_functions import RZGate

model = Model()
rz_params = RZGate(phi="(2 * (x + y)) / 3")
model.RZGate(rz_params)
model.synthesize()

Using SymPy

You can define parameters using SymPy. Note that SymPy can be used only in the SDK.

SymPy Example

import sympy

from classiq.builtin_functions.exponentiation import PauliOperator
from classiq.builtin_functions import SuzukiTrotter
from classiq.builtin_functions.suzuki_trotter import SuzukiParameters
from classiq import Model

model = Model()
x = sympy.Symbol("x")
trotter_params = SuzukiTrotter(
    pauli_operator=PauliOperator(pauli_list=[("XXZ", 1), ("YXZ", 0.5)]),
    evolution_coefficient=x,
    suzuki_parameters=SuzukiParameters(order=1, repetitions=1),
)
model.SuzukiTrotter(trotter_params)
model.preferences.draw_at_level = 4
model.synthesize()

SymPy Mathematical Expressions Example

With SymPy, you can use mathematical expressions naturally.

```python
import sympy

from classiq.builtin_functions.exponentiation import PauliOperator
from classiq.builtin_functions import SuzukiTrotter
from classiq.builtin_functions.suzuki_trotter import SuzukiParameters
from classiq import Model

model = Model()
x = sympy.Symbol("x")
y = sympy.Symbol("y")
trotter_params = SuzukiTrotter(
    pauli_operator=PauliOperator(pauli_list=[("XXZ", 1), ("YXZ", 0.5)]),
    evolution_coefficient=(x + y) / 2,
    suzuki_parameters=SuzukiParameters(order=1, repetitions=1),
)
model.SuzukiTrotter(trotter_params)
model.synthesize()
```

Automatically Generated Parameters

Some functions include many automatically generated parameters. You can provide the parameter_prefix for the parameter names.

The following functions are HVA, UCC, and HardwareEfficientAnsatz.

The Classiq engine regards the parameters of two functions with the same parameter_prefix as equivalent.