qandle.embeddings module

class qandle.embeddings.AmplitudeEmbedding(name: str, qubits: list, normalize: bool = False, pad_with: float | None = None)[source]

Bases: InputOperator

Amplitude Embedding

build(num_qubits: int) → AmplitudeEmbeddingBuilt[source]: Builds the operator, i.e. converts it to a torch.nn.Module.

to_qasm() → QasmRepresentation[source]: Returns the OpenQASM2 representation of the operator.

class qandle.embeddings.AmplitudeEmbeddingBuilt(name: str, num_qubits: int, normalize: bool, pad_with: float | None, padding)[source]

Bases: InputOperatorBuilt

Will ignore the state of the circuit and set the features as the state.

forward(_=None, **kwargs)[source]: Applies the operator to the state.

to_qasm() → QasmRepresentation[source]: Returns the OpenQASM2 representation of the operator.

class qandle.embeddings.AngleEmbedding(name: str, qubits: List[int] | None = None, rotation='rx')[source]

Bases: InputOperator

Angle Embedding

build(num_qubits: int) → AngleEmbeddingBuilt[source]: Builds the operator, i.e. converts it to a torch.nn.Module.

to_qasm() → QasmRepresentation[source]: Returns the OpenQASM2 representation of the operator.

class qandle.embeddings.AngleEmbeddingBuilt(name: str, num_qubits: int, qubits: List[int], rotation: str)[source]

Bases: InputOperatorBuilt

Will ignore the state of the circuit and set the features as the state.

decompose()[source]

forward(state=None, **kwargs)[source]: Applies the operator to the state.

prod(inp)[source]: Return the matrix product along the third-to-last dimension. TODO: Optimize this.

to_qasm() → QasmRepresentation[source]: Returns the OpenQASM2 representation of the operator.

class qandle.embeddings.InputOperator[source]: Bases: UnbuiltOperator, ABC

class qandle.embeddings.InputOperatorBuilt(*args, **kwargs)[source]

Bases: BuiltOperator, ABC

decompose()[source]

abstract to_qasm() → QasmRepresentation[source]: Returns the OpenQASM2 representation of the operator.