What is Reversible Computing?

Reversible Computing is a computing model whose calculation process is reversible. In this computational model, the energy used is very low, and the increase in entropy is minimized, in other words, it generates almost no additional heat.

Reversible Computing is a computing model whose calculation process is reversible. In this calculation model, the

Transition function (English: Transition function), translated into a conversion function , mathematically, it has several different meanings:

in

Entropy in chemistry and thermodynamics is a measure of the total amount of energy that cannot be done in terms of kinetics. That is, as the overall entropy increases, its functional capacity also decreases. The measure of entropy is the energy degradation. index. Entropy is also used to calculate the disorder of a system, that is, the degree of chaos in the system. Entropy is a function that describes the state of the system, but it is often analyzed and compared with reference values and changes of entropy. It has important applications in the fields of cybernetics, probability theory, number theory, astrophysics, life sciences, etc., and is used in different disciplines. There are also more specific definitions extended, which are very important parameters in various fields.

The concept of entropy was proposed by German physicist Clausius in 1865. Kirschnerfeld defines the increase and decrease of entropy in a thermodynamic system: the total amount of heat used at a constant temperature in a reversible process (

), And can be expressed as:

Clausius entropy S (Greek: , entropia , German: Entropie , English: entropy ). The Greek origin means inward, that is, a system is most internal when it is not affected by external interference. Characteristics of steady state development. " The opposite concept of entropy is "anti-entropy" (Greek: , ektropia, meaning "extroversion"; German: Ektropie; English ectropy).

In 1923, the German scientist Planck used the word entropy to lecture in China. Professor Hu Gangfu was inspired by the translation and added the word "quote" to the side to interpret the word "entropy", creating the word "entropy". : Low) because entropy is the quotient of Q divided by T (temperature).

It is worth noting that this formula only involves the increase and decrease of entropy, that is, the term entropy is only defined as an added constant. ^[3]