Number of hidden states needed to physically implement a given conditional distribution
Jeremy A. Owen, Artemy Kolchinsky, and David H. Wolpert

TL;DR
This paper investigates the minimal number of hidden states required to physically implement any desired conditional distribution in thermodynamic systems, showing that additional states enable reversible implementation and can reduce heat generation.
Contribution
It demonstrates that any conditional distribution can be implemented with hidden states in a thermodynamically reversible way and provides exact and upper bound calculations for the resource cost.
Findings
Any conditional distribution can be implemented with hidden states.
One extra binary state suffices for reversible implementation of any distribution.
Hidden states can reduce heat generation in certain implementations.
Abstract
We consider the problem of how to construct a physical process over a finite state space that applies some desired conditional distribution to initial states to produce final states. This problem arises often in the thermodynamics of computation and nonequilibrium statistical physics more generally (e.g., when designing processes to implement some desired computation, feedback controller, or Maxwell demon). It was previously known that some conditional distributions cannot be implemented using any master equation that involves just the states in . However, here we show that any conditional distribution can in fact be implemented---if additional "hidden" states not in are available. Moreover, we show that it is always possible to implement in a thermodynamically reversible manner. We then investigate a novel cost of the physical resources needed to implement a…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Quantum Mechanics and Applications · Quantum Information and Cryptography
