amplify.client.FujitsuDA2PTSolverClientParameters

class FujitsuDA2PTSolverClientParameters

ベースクラス: pybind11_builtins.pybind11_object

A class that handles the parameters of FujitsuDA2PTSolverClient.

__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.

maximum_replica_temperature

Maximum temperature to set for each replica.

number_iterations

Number of searchs in one annealing.

number_replicas

Number of replicas.

offset_increase_rate

Cumulative energy increment when no new state is selected.

solution_mode

Specifies how solutions are returned.

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 FujitsuDA2PTSolverClient

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

client = FujitsuDA2PTSolverClient()
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 FujitsuDA2PTSolverClient

client = FujitsuDA2PTSolverClient(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 maximum_replica_temperature

Maximum temperature to set for each replica. If not specified, it is automatically adjusted. A number greater than or equal to 0 should be specified. Automatic adjustment is recommended.

Type

float

property number_iterations

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

Type

int

property number_replicas

Number of replicas. This is the number of annealing performed in parallel at different initialized temperatures. It is specified by an integer from 26 to 128.

Type

int

property offset_increase_rate

Cumulative energy increment when no new state is selected. If not specified, it is automatically adjusted. It is specified by a value from 0 to 2,000,000,000. Automatic adjustment is recommended.

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_replicas, 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