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原文連結
論文資訊
- 類型：已發表論文
- 日期：2021-06-01
摘要
Practical, useful computations are instantiated via physical processes. 資訊 must be stored and updated within a system’s configurations, whose energetics determine a computation’s cost. To describe 熱力學 and 生物 資訊 processing, a growing body of results embraces rate equations as the underlying mechanics of computation. Strictly applying these continuous-time 隨機 馬可夫 dynamics, however, precludes a universe of natural computing. Within this framework, operations as simple as a NOT gate (flipping a bit) and swapping two bits, and swapping bits are inaccessible. We show that expanding the toolset to continuous- time hidden 馬可夫 dynamics substantially removes the constraints, by allowing 資訊 to be stored in a system’s latent states. We demonstrate this by simulating computations that are impossible to
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