Quantum Coordination Advantages in AI State-Tracking Tasks: Semantic Compilation and Latent Memory
We prove inference-time quantum coordination advantages for specified AI state-tracking tasks. A solver compresses semantic history into a future-accessible boundary state and later answers a query. We count communication $B$, persistent instance-dependent memory $M$, and local work $D$; classical recurrence, caches, tools, and recomputation are allowed and charged. The central result is a boundary-preserving semantic-compilation theorem. It maps a finite one-way, streaming, or adaptive causal t
Record details
Published: 11 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Privacy
Retrieved: 12 August 2026
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ethics.ai (11 August 2026), “Quantum Coordination Advantages in AI State-Tracking Tasks: Semantic Compilation and Latent Memory,” evidence record 18653, https://ethics.ai/record/18653 (originally published by arXiv cs.AI).
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