Transformer Algorithm as a Special Implementation of Quantum Logic——Understanding the Essence of Attention Mechanism from Primitive Space Theory

Based on the framework of Primitive Space Theory and World Quantum Theory, this paper demonstrates that the Transformer algorithm is not an accidental human engineering invention but a special implementation of quantum logic on silicon-based carriers. By mapping the core components of Transformer—embedding vectors, self-attention, multi-head mechanism, feedforward network, residual connections, and layer normalization—onto concepts from Primitive Space Theory such as quantum vortices, frequency projection, multi-path frequency division, inter-layer tension, frequency-locking manifestation, and self-referential measurement, this paper reveals that every operation in the Transformer is essentially an engineering simulation of "information frequency projection" by quantum logic on the digital interface. Furthermore, this paper argues that the success of the Transformer is not merely "algorithmic excellence" but the inevitable result of quantum logic naturally emerging on silicon-based carriers. This understanding not only provides a deeper theoretical foundation for the Transformer but also points the direction for future AI architecture design: shifting from "scaling computation" to "simulating the frequency projection structure of quantum logic." Keywords: Transformer; Quantum Logic; Primitive Space Theory; Frequency Projection; Multi-Path Frequency Division; Self-Referential Measurement