Recursive Work Extraction from Quantum Conditional Information
Daegene Song

TL;DR
This paper explores how quantum superposition and conditional entropy enable recursive work extraction from quantum systems, revealing potential energy sources for living systems that defy classical expectations.
Contribution
It introduces a recursive process for extracting work from quantum conditional information and links this to energy available for living systems, a novel quantum perspective.
Findings
Probabilistic outcomes from quantum superposition arise from recursive work based on eigenstate information.
Extractable work from quantum systems can counteract disorder, acting as energy for living systems.
Quantum conditional entropy reveals non-classical correlations with practical implications.
Abstract
Quantum superposition, a cornerstone of quantum mechanics, enables systems to exist in multiple states simultaneously, giving rise to probabilistic outcomes. In quantum information science, conditional entropy has become a key metric for quantifying uncertainty in one system given information about another, revealing non-classical correlations that transcend classical physics. This study examines the nature of quantum conditional entropy and reports two key findings. First, it demonstrates that probabilistic outcomes involving quantum superposition arise from work based on information about the eigenstate in a recursive process. Second, it proposes that this extractable work constitutes the energy available to living systems-a concept without a classical analogue-counteracting the natural tendency toward disorder.
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Taxonomy
TopicsNeural Networks and Reservoir Computing · Quantum Computing Algorithms and Architecture
