
Von Neumann entropy is a measure of quantum information and disorder, applied in energy teleportation, evolution paths, and entanglement.Von Neumann entropy is the quantum analogue of classical Shannon entropy, but for systems governed by quantum rules. A quantum state is described by a density matrix—a table of probabilities. If the particle is in a pure state, the density matrix is simple, and the entropy is zero. Upon interaction with the environment, the state becomes mixed, the density matrix becomes more complex, and the entropy increases. The maximum value for a system of n qubits is n—complete uncertainty. This quantity underlies modern protocols for quantum data transmission and error correction.
Von Neumann introduced quantum entropy in 1932, drawing on analogies with statistical thermodynamics. The idea deepened after the birth of Shannon's information theory in 1948, when the connection with channel capacity became clear. In the 1970s–80s, in works on quantum thermodynamics and decoherence (Zurek, Lindblad), entropy became key to describing the transition from quantum to classical. David Deutsch in 1985 used it in his pioneering concepts of quantum computing, laying the foundations of quantum information theory.
In a closed system, evolution is unitary (according to the Schrödinger equation), and a pure state remains pure—entropy does not change. But real systems interact with the environment, leading to decoherence—the density matrix becomes mixed, entropy increases. For a composite system in a pure state, the reduced matrix of a subsystem can have nonzero entropy, which precisely measures the degree of quantum entanglement between the parts. The computation involves diagonalizing ρ and the formula Σ −pᵢ log pᵢ. In quantum computing, monitoring this entropy helps combat noise through error correction codes.
Determines the limit of data compression in quantum computers and diagnoses entanglement in quantum networks.
Von Neumann entropy cannot decrease without exchanging information with the environment—just as a shuffled deck cannot be instantly ordered without knowing the exact arrangement of cards.
| S | variable | von Neumann entropy — entropy joule per kelvin |
| ρ | variable | density matrix of the quantum state — density matrix |
| tr | operator | sums diagonal elements of a matrix — trace operator |
| ln | operator | takes the natural logarithm — natural logarithm |
| S | variable | entropy of the system — entropy joule per kelvin |
| Ω | variable | number of microstates corresponding to the macrostate — number of microstates |
| k_B | constant | relates temperature to energy per degree of freedom — boltzmann constant = 1.380649e-23 joule per kelvin |
| ln | operator | natural logarithm — natural logarithm |
| S | variable | Shannon entropy — entropy |
| p_i | variable | Probability of the i-th outcome — probability |
| \sum_i | operator | Sum over all possible outcomes i — summation |
| \ln | operator | Natural logarithm (base e) — natural logarithm |
| I | variable | information flow between subsystems — information flow bit per second |
| σ | variable | entropy production rate — entropy production rate joule per kelvin second |
| A | variable | activity (a measure of dynamical activity in the system) — activity per second |
| β | variable | inverse temperature (1/k_B T) — inverse temperature per joule |
| |·|² | operator | squared magnitude — absolute value squared |
| d/dt | operator | derivative with respect to time — time derivative |


















