Universal language model with the intervention of quantum theory
By: D. -F. Qin
Potential Business Impact:
Makes computers understand words like we do.
This paper examines language modeling based on the theory of quantum mechanics. It focuses on the introduction of quantum mechanics into the symbol-meaning pairs of language in order to build a representation model of natural language. At the same time, it is realized that word embedding, which is widely used as a basic technique for statistical language modeling, can be explained and improved by the mathematical framework of quantum mechanics. On this basis, this paper continues to try to use quantum statistics and other related theories to study the mathematical representation, natural evolution and statistical properties of natural language. It is also assumed that the source of such quantum properties is the physicality of information. The feasibility of using quantum theory to model natural language is pointed out through the construction of a experimental code. The paper discusses, in terms of applications, the possible help of the theory in constructing generative models that are popular nowadays. A preliminary discussion of future applications of the theory to quantum computers is also presented.
Similar Papers
The Quantum LLM: Modeling Semantic Spaces with Quantum Principles
Artificial Intelligence
Makes AI understand words better, like a brain.
Quantum Natural Language Processing: A Comprehensive Review of Models, Methods, and Applications
Computation and Language
Computers understand words better using tiny quantum tricks.
QuanUML: Towards A Modeling Language for Model-Driven Quantum Software Development
Software Engineering
Draws pictures to build better quantum computer programs.