Transfomer

In quantum computing, a **Transformer** refers to an adaptation of the classical Transformer neural network architecture for **quantum data or quantum circuits**. It uses quantum operations (like parameterized quantum gates) to process information in **Hilbert space**, enabling the model to capture quantum correlations that classical Transformers can’t. Essentially, it’s a **quantum analog of attention-based models**, designed to learn from or simulate quantum states and dynamics.