A Brief Study on Liquid Water to Retain Information

A. Hankey
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Abstract

The possibility of information storage in chemically pure water is controversial. Storage of digital information is impossible because hydrogen bonds constantly rearrange themselves; specific protons are not stably coupled to specific oxygen atoms. If information is to be stored, its retention must be by other means. Nevertheless, some scientists have contended that information retention in water is not inconceivable, suggesting that water’s microstructure may be involved. This paper highlights how these make it possible for water to retain information of a kind different from any previously conceived. Two kinds of entropy can be defined in water, classical due to heat, and quantum attributable to microstates. The method adopted is to compare the two, and to show that the first produces limitations on the second. The number of polymolecules is so vast that the quantum entropy might exceed the heat entropy. Since the classical, heat entropy cannot be exceeded, the number of polymolecules accessible at a given temperature, T, is restricted, yielding a new form of information, IR(T). The new form of information is entirely different from the four kinds previously known: Fisher Information in Statistics, Digital Information used in IT, Quantum Information, and Experience Information in biological systems at criticality. The new kind of information retained in water is analogous to Fisher Information in that it arises from restriction on the range of a variable, i.e. attributable to limitations on a statistical variable’s values. We therefore propose to name it, ‘Quantum Fisher Information’. Like the process of homoeopathic dilution, which has a limiting temperature around 70O C, Quantum Fisher Information is predicted to have a Limiting Temperature, TL. This qualitative agreement is encouraging. Prediction of TL requires calculating exact numbers of polymolecules. Information retention in water arises from the structure of quantum entropy, and the vast number of possible water polymolecules. Containing both classical and quantum components, the new information is analogous to Fisher Information in statistics.
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浅谈液态水的信息保留作用
在化学纯净水中储存信息的可能性是有争议的。存储数字信息是不可能的,因为氢键会不断地重新排列;特定的质子不能稳定地与特定的氧原子耦合。如果要存储信息,则必须通过其他方式保存信息。然而,一些科学家认为,信息在水中的保存并非不可想象,这可能与水的微观结构有关。这篇论文强调了这些因素是如何使水能够保留一种不同于以往设想的信息的。在水中可以定义两种熵,一种是由热引起的经典熵,另一种是由微观状态引起的量子熵。所采用的方法是比较两者,并表明前者对后者产生限制。多分子的数量是如此之大,以至于量子熵可能超过热熵。由于经典的热熵不能被超越,在给定温度T下可获得的多分子数量受到限制,从而产生了一种新的信息形式IR(T)。新形式的信息与之前已知的四种信息完全不同:统计学中的Fisher信息,IT中使用的数字信息,量子信息和临界生物系统中的经验信息。保留在水中的新型信息类似于费雪信息,因为它产生于对变量范围的限制,即可归因于统计变量值的限制。因此,我们建议将其命名为“量子费雪信息”。就像顺势稀释的过程一样,其极限温度在70℃左右,量子费雪信息被预测有一个极限温度TL。这一定性一致是令人鼓舞的。预测TL需要计算多分子的精确数目。水的信息保留源于量子熵的结构和大量可能的水多分子。新信息包含经典和量子成分,类似于统计学中的费雪信息。
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