Module quantum_transformer 

Quantum Transformer Architectures

This module implements quantum transformer models with quantum attention mechanisms, position encoding, and multi-head attention for processing quantum and classical data in transformer-style architectures.

Structs

AttentionOutput

Attention computation result

QuantumAttentionInfo

Quantum attention information

QuantumFeedForward

Quantum feedforward network

QuantumMultiHeadAttention

Quantum multi-head attention module

QuantumPositionEncoding

Quantum position encoding module

QuantumTransformer

Main quantum transformer model

QuantumTransformerConfig

Quantum transformer model configuration

QuantumTransformerLayer

Single quantum transformer layer

Enums

ActivationType

Activation function types for quantum networks

PositionEncodingType

Position encoding types for quantum transformers

QuantumAttentionType

Types of quantum attention mechanisms

Functions

create_causal_mask

Helper function to create causal attention mask

create_padding_mask

Helper function to create padding mask