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. It extends the concept of Gibbs entropy from classical statistical mechanics to quantum statistical mechanics, and it is the quantum counterpart of the Shannon entropy from classical information theory. For a quantum-mechanical system described by a density matrix ρ, the von Neumann entropy is
S = − tr ( ρ ln ρ ) , {\displaystyle S=-\operatorname {tr} (\rho \ln \rho ),}
where tr {\displaystyle \operatorname {tr} } denotes the trace and ln {\displaystyle \operatorname {ln} } denotes the matrix version of the natural logarithm. If the density matrix ρ is written in a basis of its eigenvectors | 1 ⟩ , | 2 ⟩ , | 3 ⟩ , … {\displaystyle |1\rangle ,|2\rangle ,|3\rangle ,\dots } as
ρ = ∑ j η j | j ⟩ ⟨ j | , {\displaystyle \rho =\sum _{j}\eta _{j}\left|j\right\rangle \left\langle j\right|,}
then the von Neumann entropy is merely
S = − ∑ j η j ln η j . {\displaystyle S=-\sum _{j}\eta _{j}\ln \eta _{j}.}
In this form, S can be seen as the Shannon entropy of the eigenvalues, reinterpreted as probabilities. The von Neumann entropy and quantities based upon it are widely used in the study of quantum entanglement.
Fundamentals
In quantum mechanics, probabilities for the outcomes of experiments made upon a system are calculated from the quantum state describing that system. Each physical system is associated with a vector space, or more specifically a Hilbert space. The dimension of the Hilbert space may be infinite, as it is for the space of square-integrable functions on a line, which is used to define the quantum physics of a continuous degree of freedom. Alternatively, the Hilbert space may be finite-dimensional, as occurs for spin degrees of freedom. A density operator, the mathematical representation of a quantum state, is a positive semi-definite, self-adjoint operator of trace one acting on the Hilbert space of the system. A density operator that is a rank-1 projection is known as a pure quantum state, and all quantum states that are not pure are designated mixed. Pure states are also known as wavefunctions. Assigning a pure state to a quantum system implies certainty about the outcome of some measurement on that system (i.e., P ( x ) = 1 {\displaystyle P(x)=1} for some outcome x {\displaystyle x} ). The state space of a quantum system is the set of all states, pure and mixed, that can be assigned to it. For any system, the state space is a convex set: Any mixed state can be written as a convex combination of pure states, though not in a unique way. The von Neumann entropy quantifies the extent to which a state is mixed. The prototypical example of a finite-dimensional Hilbert space is a qubit, a quantum system whose Hilbert space is 2-dimensional. An arbitrary state for a qubit can be written as a linear combination of the Pauli matrices, which provide a basis for 2 × 2 {\displaystyle 2\times 2} self-adjoint matrices:
ρ = 1 2 ( I + r x σ x + r y σ y + r z σ z ) , {\displaystyle \rho ={\tfrac {1}{2}}\left(I+r_{x}\sigma _{x}+r_{y}\sigma _{y}+r_{z}\sigma _{z}\right),}
where the real numbers ( r x , r y , r z ) {\displaystyle (r_{x},r_{y},r_{z})} are the coordinates of a point within the unit ball and
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