AI 中文总结
本文受艺术探究启发，为封闭量子系统转换全局神经元工作空间理论，引用量子霍普菲尔德式哈密顿量构建框架，通过约化得出玩具模型和纠缠，阐明理论假设，突出非表征状态，还提出艺术 - 科学合作新模式。
AI 中文摘要
受关于与表征和体现相关的仅量子形式体验的推测性艺术探究的启发，本文为封闭量子系统开发了全局神经元工作空间（GNW）理论的一种转换。该工作将经典GNW作为架构参考，研究在幺正动力学下意识访问和记忆如何变化。我们引用了一个量子霍普菲尔德式哈密顿量，它反映了GNW的关键组织特征。在此框架内，信息的全局可用性通过保持相干的关联分布实现，记忆是持久的内部关联结构，点火成为全局纠缠的转变。霍普菲尔德式哈密顿量的约化导致一个易于处理的玩具模型和GHZ型纠缠，明确展示了相对相位如何通过联合内部操作全局可及但在所有局部子系统中不存在。这种封闭量子系统方法阐明了工作空间理论的哪些方面取决于经典假设。我们的模型突出了一种非表征状态，其中访问和记忆完全是关系性的而非副本或记录。除了科学贡献，本文还提出了一种艺术 - 科学合作模式，即通过理论模型而非图示或数据进行推测性艺术探究。
英文摘要
Motivated by speculative artistic inquiry into quantum-only forms of experience in relation to representation and embodiment, this paper develops a translation of the Global Neuronal Workspace (GNW) theory for closed quantum systems. The work treats classical GNW as an architectural reference and asks how conscious access and memory change under unitary dynamics. We reference a quantum Hopfield-style Hamiltonian that mirrors key organisational features of GNW, such as a distributed workspace and tunable large-scale integration. Within this framework, global availability of information is realised through coherence-preserving correlation distributions and memory is a persistent internal correlation structure. Likewise, ignition becomes a transition in global entanglement as opposed to convergence towards a stable attractor. Reductions of the Hopfield-style Hamiltonian lead to a tractable toy model and GHZ-type entanglement, explicitly showing how relative phase is globally accessible through joint internal operations yet absent from all local subsystems. This closed quantum system approach clarifies which aspects of workspace theories are contingent on classical assumptions. Our model highlights a non-representational regime in which access and memory are entirely relational rather than copies or records. Beyond its scientific contribution, the paper proposes a mode of art-science collaboration where speculative artistic inquiry is pursued through theoretical models rather than illustration or data.
Comments18 pages, 1 figure. Comments welcome
