In computing, entropy is the randomness collected by an operating system or application for use in cryptography or other uses that require random data...

In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential...

successor. Reversible computing is considered an unconventional approach to computation and is closely linked to quantum computing, where the principles...

be confused Entropy encoding, data compression strategies to produce a code length equal to the entropy of a message Entropy (computing), an indicator...

concept of entropy is central, Shannon was persuaded to employ the same term 'entropy' for his measure of uncertainty. Information entropy is often presumed...

signal. Entropy Entropy production Entropy rate History of entropy Entropy of mixing Entropy (information theory) Entropy (computing) Entropy (energy dispersal)...

entropy states that the probability distribution which best represents the current state of knowledge about a system is the one with largest entropy,...

statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle D_{\text{KL}}(P\parallel...

In physics, the von Neumann entropy, named after John von Neumann, is a measure of the statistical uncertainty within a description of a quantum system...

Entropy is a scientific concept, most commonly associated with states of disorder, randomness, or uncertainty. The term and the concept are used in diverse...

In statistics and information theory, a maximum entropy probability distribution has entropy that is at least as great as that of all other members of...

Residual entropy is the difference in entropy between a non-equilibrium state and crystal state of a substance close to absolute zero. This term is used...

is usually a nibble. In information theory, one bit is the information entropy of a random binary variable that is 0 or 1 with equal probability, or the...

In information theory, the conditional entropy quantifies the amount of information needed to describe the outcome of a random variable Y {\displaystyle...

crucial role in the construction of the measure-theoretic entropy of a dynamical system. The entropy of a partition Q {\displaystyle {\mathcal {Q}}} is defined...

generates random numbers from a physical process capable of producing entropy, unlike a pseudorandom number generator (PRNG) that utilizes a deterministic...

bear in mind that since computing power continually grows, to prevent offline attacks the required number of bits of entropy should also increase over...

quantum computing journals which is a collection of peer-reviewed scientific journals that publish research in the field of quantum computing, including...

Entropy in thermodynamics and information theory. Entropy (information theory), such as the amount of information that can be stored in DNA Entropy (thermodynamics)...

Research concerning the relationship between the thermodynamic quantity entropy and both the origin and evolution of life began around the turn of the...

Rex, Andrew F. (eds.) 2003. Maxwell's Demon 2 : Entropy, classical and quantum information, computing. Bristol UK; Philadelphia PA: Institute of Physics...

The entropy of entanglement (or entanglement entropy) is a measure of the degree of quantum entanglement between two subsystems constituting a two-part...

team developed the so-called theory of liquid state machine, or high entropy computing. In 2002, he moved to EPFL as full professor and founder/director...

The League of Entropy (LoE) is a voluntary consortium of organizations working together to implement an unpredictable, bias-resistant, fully decentralized...

Entropic gravity, also known as emergent gravity, is a theory in modern physics that describes gravity as an entropic force—a force with macro-scale homogeneity...

In physics, the Tsallis entropy is a generalization of the standard Boltzmann–Gibbs entropy. It is proportional to the expectation of the q-logarithm...

(2007). "Section 14.7.3. Conditional Entropy and Mutual Information". Numerical Recipes: The Art of Scientific Computing (3rd ed.). New York: Cambridge University...

after Jacob Bekenstein) is an upper limit on the thermodynamic entropy S, or Shannon entropy H, that can be contained within a given finite region of space...

complexity, program-size complexity, descriptive complexity, or algorithmic entropy. It is named after Andrey Kolmogorov, who first published on the subject...

ISBN 0-486-60434-9 H. S. Leff and A. F. Rex, Editors, Maxwell's Demon: Entropy, Information, Computing, Princeton University Press, Princeton, New Jersey (1990)....