Proposes quantum scheme using indefinite causal order (ICO) for integrated sensing and computation on one state. Agent superposes observation-then-compute and compute-then-observation orders. Achieves low losses in magnetic navigation tasks.
Key Points
- 1.Superposition of causal orders
- 2.Single state for dual tasks
- 3.Experimental results in navigation
Impact Analysis
Challenges strict causal paradigms in quantum AI. Enables efficient quantum info processing. Advances machine intelligence beyond sequential learning.
Technical Details
ICO framework for quantum operations. Parametric model learns state functions. Distinct from standard acquisition-then-learning.