Expand description
Quantum Long Short-Term Memory (QLSTM) and recurrent architectures.
This module implements quantum versions of LSTM and other recurrent neural networks for processing sequential data with quantum advantages.
Modules§
- training
- Training utilities for recurrent models
Structs§
- QGRU
Cell - Quantum Gated Recurrent Unit (QGRU)
- QLSTM
- Quantum LSTM network
- QLSTM
Cell - Quantum LSTM cell
- Quantum
Attention - Quantum attention mechanism for sequence-to-sequence models
- Quantum
Seq2 Seq - Sequence-to-sequence model with quantum components