用哈密顿量框架对比量子与经典智能体的环境交互机制
Hamiltonian Formalism for Comparing Quantum and Classical Intelligence
- 将AGI核心功能分解为哈密顿量生成元
- 揭示量子与经典智能体在环境交互中的数学差异
- 适合对量子智能与计算理论感兴趣的读者
量子基底上实现通用人工智能（AGI）的前景，推动了在经典与量子环境中直接比较其运作机制的数学框架发展。为此，本文提出一种哈密顿量形式化方法，用于描述经典与量子AGI任务，以对比其与环境的相互作用。我们提出将AGI动力学分解为诱导、推理、递归、学习、测量和记忆等核心功能的哈密顿量生成元。该形式化旨在为量子与经典智能体通过环境交互所表现出的差异，建立精确的数学语言。
原文摘要 · Abstract (English)
The prospect of AGI instantiated on quantum substrates motivates the development of mathematical frameworks that enable direct comparison of their operation in classical and quantum environments. To this end, we introduce a Hamiltonian formalism for describing classical and quantum AGI tasks as a means of contrasting their interaction with the environment. We propose a decomposition of AGI dynamics into Hamiltonian generators for core functions such as induction, reasoning, recursion, learning, measurement, and memory. This formalism aims to contribute to the development of a precise mathematical language for how quantum and classical agents differ via environmental interaction.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。