量子传感与计算共用同一状态，突破因果顺序限制。
Quantum Integrated Sensing and Computation with Indefinite Causal Order
- 用不确定因果顺序的量子态同时完成传感与计算。
- 在磁导航任务中实现低训练与测试误差。
- 适合研究量子信息融合与新型智能架构的学者。
不确定因果顺序（ICO）的量子操作是量子信息处理中一种框架，其中两个事件的相对顺序可以不确定。本文探讨了传感与计算这两项量子信息处理中的经典任务是否可在ICO框架内实现。我们提出了一种集成传感与计算的方案，使用相同的量子态完成两项任务。该量子态被表示为一个代理，通过参数化模型对状态进行观测并学习函数以做出预测。在ICO操作下，该代理经历顺序的叠加：一种是先执行状态观测再进行计算，另一种是先执行计算再进行状态观测。这有别于当前信息处理和机器智能范式中信息获取总是先于学习的严格因果顺序。我们提供了实验结果，表明该方案在磁导航代表性任务上可实现小的训练和测试损失。
原文摘要 · Abstract (English)
Quantum operations with indefinite causal order (ICO) represent a framework in quantum information processing where the relative order between two events can be indefinite. In this paper, we investigate whether sensing and computation, two canonical tasks in quantum information processing, can be carried out within the ICO framework. We propose a scheme for integrated sensing and computation that uses the same quantum state for both tasks. The quantum state is represented as an agent that performs state observation and learns a function of the state to make predictions via a parametric model. Under an ICO operation, the agent experiences a superposition of orders, one in which it performs state observation and then executes the required computation steps, and another in which the agent carries out the computation first and then performs state observation. This is distinct from prevailing information processing and machine intelligence paradigms where information acquisition and learning follow a strict causal order, with the former always preceding the latter. We provide experimental results and we show that the proposed scheme can achieve small training and testing losses on a representative task in magnetic navigation.
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。