4 papers
Discrete Semantic States and Hamiltonian Dynamics in LLM Embedding Spaces
Timo Aukusti Laine
We investigate the structure of Large Language Model (LLM) embedding spaces using mathematical concepts, particularly linear algebra and the Hamiltonian formalism, drawing inspirat…
Quantum LLMs Using Quantum Computing to Analyze and Process Semantic Information
Timo Aukusti Laine
We present a quantum computing approach to analyzing Large Language Model (LLM) embeddings, leveraging complex-valued representations and modeling semantic relationships using quan…
The Quantum LLM: Modeling Semantic Spaces with Quantum Principles
Timo Aukusti Laine
In the previous article, we presented a quantum-inspired framework for modeling semantic representation and processing in Large Language Models (LLMs), drawing upon mathematical to…
Semantic Wave Functions: Exploring Meaning in Large Language Models Through Quantum Formalism
Timo Aukusti Laine
Large Language Models (LLMs) encode semantic relationships in high-dimensional vector embeddings. This paper explores the analogy between LLM embedding spaces and quantum mechanics…