cunqa.backend.BackendData

class cunqa.backend.BackendData

Bases: TypedDict

Class to gather the characteristics of a Backend object.

Attributes

`basis_gates`	Native gates that the Backend accepts.
`coupling_map`	Defines the physical connectivity of the qubits, in which pairs two-qubit gates can be performed.
`custom_instructions`	Any custom instructions that the Backend has defined.
`description`	Description of the Backend itself.
`gates`	Specific gates supported.
`n_qubits`	Number of qubits that form the Backend, which determines the maximal number of qubits supported for a quantum circuit.
`name`	Name assigned to the Backend.
`noise_path`	Path to the noise model json file gathering the noise instructions needed for the simulator.
`simulator`	Name of the simulatior that simulates the circuits accordingly to the Backend.
`version`	Version of the Backend.

BackendData.fromkeys(value=None, /): Create a new dictionary with keys from iterable and values set to value.

BackendData.get(key, default=None, /): Return the value for key if key is in the dictionary, else default.

BackendData.pop(k[, d]) → v, remove specified key and return the corresponding value.: If key is not found, default is returned if given, otherwise KeyError is raised

BackendData.popitem()

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

BackendData.setdefault(key, default=None, /)

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

BackendData.update([E, ]**F) → None. Update D from dict/iterable E and F.: If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]