QUDORA

Uses QUDORA trapped-ion quantum computers and their cloud simulators for circuit evaluation.

Available as QUDORAClient.

Note

An API token is required.

Either obtain a free trial API token by registering with Fixstars Amplify, or obtain an API token from your own QUDORA Cloud account.

Solver specification:

Client class	amplify.QUDORAClient
Execution parameters	Depends on the algorithm
Execution result	Depends on the algorithm
Execution time	Depends on the algorithm
Quantum computer type	Gate-based, trapped-ion
API method	REST API (JSON)
API reference	📖 API Reference

The variable types and polynomial degree accepted for the input problem depend on the chosen algorithm.

• When QAOA is specified as the client argument

  	Binary	Ising	Integer	Real
  Objective function	-	Nth degree*	-	-
  Equality constraint	-	**	-	-
  Inequality constraint	-	-	-	-

  *: Problems of arbitrary degree are supported. However, depending on the qubit connectivity of the quantum computer, the required number of qubits may increase.

  **: When Constrained QAOA is selected via QAOA type, N-HOT constraints are supported.

• When RQAOA is specified as the client argument

  	Binary	Ising	Integer	Real
  Objective function	-	Nth degree*	-	-
  Equality constraint	-	-	-	-
  Inequality constraint	-	-	-	-

  *: Problems of arbitrary degree are supported. However, depending on the qubit connectivity of the quantum computer, the required number of qubits may increase.

Client class:

The client class has the following attributes and methods.

Attribute	Data type	Details
token	str | None	The API token used for authentication.
url	str | None	The endpoint URL to connect to.
device	str | None	The QUDORA device name on which the circuit will be executed. Default: "Qamelion"
qiskit_pass_manager	qiskit.transpiler.PassManager | EllipsisType | None	The Qiskit qiskit.transpiler.PassManager used to transpile the circuit. With the default (...), one is generated automatically by generate_preset_pass_manager. Set this to None to skip transpilation.

Backend-specific metadata:

Detailed sampling information is available via QAOA’s sampling_meta.

meta = client_result.history[0].sampling_meta
meta.circuit             # The executed circuit object

Configuration example:

from amplify import QAOA, QUDORAClient

# Create the client
client = QUDORAClient(QAOA)

# Set the API token
client.token = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"

# Set QAOA parameters
client.parameters.reps = 1
client.parameters.shots = 100

Execution example:

from amplify import Model, VariableGenerator, solve

# Create decision variables and the objective function
g = VariableGenerator()
q = g.array("Binary", 2)
f = q[0] * q[1] + q[0] - q[1] + 1

# Create a model
model = Model(f)

# Run the solver
result = solve(model, client)

Obtain the backend version:

>>> client.version()