Quantum Reinforcement Learning: Decision-Making in Superposition

1. Executive Summary The synthesis of Quantum Computing (QC) and Artificial Intelligence (AI) constitutes one of the most profound interdisciplinary frontiers in contemporary science. Within this domain, Quantum Reinforcement Learning Read More …

The Geometry of Intelligence: Unpacking Superposition, Polysemanticity, and the Architecture of Sparse Autoencoders in Large Language Models

1. Introduction: The Interpretability Crisis and the High-Dimensional Mind The rapid ascent of Large Language Models (LLMs) has ushered in a distinct paradox in the field of artificial intelligence: as Read More …

The Geometry of Intelligence: Unpacking Superposition, Polysemanticity, and the Architecture of Sparse Autoencoders in Large Language Models

1. Introduction: The Interpretability Crisis and the High-Dimensional Mind The rapid ascent of Large Language Models (LLMs) has ushered in a distinct paradox in the field of artificial intelligence: as Read More …

Quantum Technologies: Unleashing the Power of the Quantum Realm

Introduction The world of technology is advancing at an unprecedented pace, with innovations continuously reshaping our lives. Among the most promising and transformative fields in recent years is quantum technology. Read More …