Entanglement Entropy
For a pure state of a composite system, the von Neumann entropy of the whole is zero — yet the parts can be deeply uncertain. That residual uncertainty in a subsystem is entanglement entropy: the canonical measure of how entangled a pure bipartite state is.
The reduced state and the partial trace
Given a pure state , the state of subsystem alone is obtained by the partial trace over :
This is the unique operator reproducing every measurement statistic local to . Even though is pure, is generally mixed — and it is mixed precisely because of entanglement with . There is no extra ignorance about : the mixedness is forced by the correlations.
Definition
The entanglement entropy of a pure bipartite state is
A foundational fact (proved via the Schmidt decomposition in the next lesson) is that the two reduced states share identical nonzero eigenvalues, so
and the measure does not care which side we trace out. This symmetry is special to pure global states.
Reading off the extremes
- Product (unentangled) state. gives a pure , so . Zero entanglement entropy iff the state factorizes.
- Maximally entangled state. A Bell state has , so ebit (one unit of entanglement). In dimension , the maximal value is .
- In between. A partially entangled state interpolates smoothly between these.
A worked example
Consider
The coefficients are already in "Schmidt form" — each basis label on pairs with a distinct label on . Tracing out ,
Its eigenvalues are and , so
The state is entangled but not maximally so: .
Why it is the right measure
For pure states, entanglement entropy is the unique entanglement measure (up to normalization) that is invariant under local unitaries and non-increasing under local operations and classical communication (LOCC). Operationally, ebits is the asymptotic rate at which copies of can be reversibly converted to and from Bell pairs — the gold standard of entanglement as a resource.
Try it
Compute the entanglement entropy, in bits, of , by forming and taking its von Neumann entropy. Return the value.
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