mqt.qudits.quantum_circuit.circuit

Module Contents

InverseSitemap

is_not_none_or_empty(variable: Parameter) → bool

G

add_gate_decorator(func: Callable[..., G]) → Callable[..., G]

class QuantumCircuit(*args: int | QuantumRegister | list[int] | None)

qasm_to_gate_set_dict: ClassVar

cl_inverse_sitemap: InverseSitemap

inverse_sitemap: InverseSitemap

number_gates: int = 0

instructions: list[Gate] = []

quantum_registers: list[QuantumRegister] = []

classic_registers: list[ClassicRegister] = []

sitemap: mqt.qudits.quantum_circuit.components.quantum_register.SiteMap

classic_site_map: ClSitemap

num_cl: int = 0

mappings: list[list[int]] | None = None

path_save: str | None = None

classmethod get_qasm_set() → dict[str, str]

property dimensions: list[int]

property num_qudits: int

reset() → None

copy() → QuantumCircuit

append(qreg: QuantumRegister) → None

append_classic(creg: ClassicRegister) → None

csum(qudits: list[int]) → CSum

cu_one(qudits: int, parameters: numpy.typing.NDArray[numpy.complex128], controls: ControlData | None = None) → CustomOne

cu_two(qudits: list[int], parameters: numpy.typing.NDArray[numpy.complex128], controls: ControlData | None = None) → CustomTwo

cu_multi(qudits: list[int], parameters: numpy.typing.NDArray[numpy.complex128], controls: ControlData | None = None) → CustomMulti

cx(qudits: list[int], parameters: list[int | float] | None = None) → CEx

gellmann(qudit: int, parameters: list[int | str], controls: ControlData | None = None) → GellMann

h(qudit: int, controls: ControlData | None = None) → H

rh(qudit: int, parameters: list[int], controls: ControlData | None = None) → Rh

ls(qudits: list[int], parameters: list[float]) → LS

ms(qudits: list[int], parameters: list[float]) → MS

pm(qudits: int, parameters: list[int]) → Perm

r(qudit: int, parameters: list[int | float], controls: ControlData | None = None) → R

randu(qudits: list[int]) → RandU

rz(qudit: int, parameters: list[int | float], controls: ControlData | None = None) → Rz

noisex(qudit: int, parameters: list[int], controls: ControlData | None = None) → NoiseX

noisey(qudit: int, parameters: list[int], controls: ControlData | None = None) → NoiseY

noisez(qudit: int, level: int, controls: ControlData | None = None) → VirtRz

virtrz(qudit: int, parameters: list[int | float], controls: ControlData | None = None) → VirtRz

s(qudit: int, controls: ControlData | None = None) → S

x(qudit: int, controls: ControlData | None = None) → X

z(qudit: int, controls: ControlData | None = None) → Z

replace_gate(gate_index: int, sequence: Sequence[Gate]) → None

set_instructions(sequence: Sequence[Gate]) → QuantumCircuit

set_mapping(mappings: list[list[int]]) → QuantumCircuit

from_qasm(qasm_prog: str) → None

Create a circuit from qasm text.

to_qasm() → str

save_to_file(file_name: str, file_path: str = '.') → str

Save qasm into a file with the specified name and path.

Parameters:

• text (str) – The text to be saved into the file.

• file_name (str) – The name of the file.

• file_path (str, optional) – The path where the file will be saved. Defaults to “.” (current directory).

Returns:

The full path of the saved file.

Return type:

str

load_from_file(file_path: str) → None

Load text from a file.

Parameters:

file_path (str) – The path of the file to load.

Returns:

The text loaded from the file.

Return type:

str

property gate_set: str

simulate() → numpy.typing.NDArray[numpy.complex128]

compileO0(backend_name: str) → QuantumCircuit

compileO1(backend_name: str) → QuantumCircuit

set_initial_state(state: numpy.typing.NDArray[numpy.complex128], approx: bool = False) → QuantumCircuit