amplify.client.FujitsuDA2MixedModeSolverClientParameters

class FujitsuDA2MixedModeSolverClientParameters

ベースクラス: pybind11_builtins.pybind11_object

A class that handles the parameters of FujitsuDA2MixedModeSolverClient.

__init__(*args, **kwargs)

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__(*args, **kwargs)

Initialize self.

Attributes

guidance_config

Specifies the initial values of variables.

number_iterations

Number of searchs in one annealing.

number_runs

Number of repeats of annealing.

offset_increase_rate

Cumulative energy increment when no new state is selected.

solution_mode

Specifies how solutions are returned.

temperature_decay

Annealing temperature decay rate.

temperature_interval

Interval of temperature change during annealing.

temperature_mode

Model of annealing temperature change.

temperature_start

Start temperature of annealing.

property guidance_config

Specifies the initial values of variables. The initial configuration of the variables are expressed in terms of a dictionary. The key is the index of a variable in the string form, and the corresponding value is the initial value of the variable expressed as True or False.

Type

dict

Example

from amplify import BinarySymbolGenerator
from amplify.client import FujitsuDA2MixedModeSolverClient

gen = BinarySymbolGenerator()
q = gen.array(3)
f = 2 * q[0] * q[1] - q[0] - q[2] + 1

client = FujitsuDA2MixedModeSolverClient()
client.token = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
client.parameters.time_limit_sec = 1
client.parameters.guidance_config = {"0": True, "4": False}

result = client.solve(f)
>>> f
2 q_0 q_1 - q_0 - q_2 + 1
>>> print([f"energy = {s.energy}, q = {q.decode(s.values)}" for s in result])
['energy = -1.0, q = [1. 0. 1.]',
 'energy = 1.0, q = [0. 0. 0.]']

注釈

Modifying each element of guidance_config by direct reference is not supported. If you need to replace one or more elements, the entire dictionary needs to be redefined.

from amplify.client import FujitsuDA2MixedModeSolverClient

client = FujitsuDA2MixedModeSolverClient(token="xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx")
client.parameters.guidance_config = {"0": True, "1": True}
>>> client.parameters.guidance_config
{'1': True, '0': True}
>>> client.parameters.guidance_config["0"] = False # Dictionary elements cannot be replaced by direct reference.
>>> client.parameters.guidance_config
{'1': True, '0': True}
>>> client.parameters.guidance_config= {"0": False, "1": False}  # Redefition of the entire dictionary can replace dictionary elements.
>>> client.parameters.guidance_config
{'1': False, '0': False}
property number_iterations

Number of searchs in one annealing. Specified by an integer from 1 to 2,000,000,000.

Type

int

property number_runs

Number of repeats of annealing. An integer from 16 to 128 be specified.

Type

int

property offset_increase_rate

Cumulative energy increment when no new state is selected. A value between 0 and 2,000,000,000 should be specified.

Type

float

property solution_mode

Specifies how solutions are returned. Can be set to "COMPLETE" or "QUICK". "COMPLETE" is set as the default if no value is specified.

  • COMPLETE: Returns all results obtained by the number of annealing specified by number_runs, but combines the same results into one and returns with the total number of occurrence as frequency.

  • QUICK: Returns one result with the lowerst energy.

Type

str

property temperature_decay

Annealing temperature decay rate.

Type

float

property temperature_interval

Interval of temperature change during annealing. An integer greater than or equal to 1 should be specified.

Type

int

property temperature_mode

Model of annealing temperature change. Specified from "EXPONENTIAL", "INVERSE", or "INVERSE_ROOT". If not specified, "EXPONENTIAL" is set as the default.

Type

str

property temperature_start

Start temperature of annealing. A value greater than or equal to 0 should be specified.

Type

float