Product States
A pure state of a composite system is a product state when it assigns a pure state to each subsystem:
Product states describe independent pure preparations. They can contain local superpositions and other fully quantum behavior, but they contain no entanglement or correlation between and .
Helpful background. Tensor products explains how subsystem spaces combine; product bases supplies the coefficient array used to test factorization.
Product vectors and normalized states
Section titled “Product vectors and normalized states”Let
A nonzero vector is a product vector across the split if there exist nonzero vectors
such that
For a normalized joint state, the factors may be chosen normalized because
The normalized factors are unique up to compensating phases. If
then, for normalized factors,
for some real . An additional common phase changes only the representative of the physical ray.
A pure state that is not a product state across the chosen split is entangled.
Relative to a Subsystem Split
Section titled “Relative to a Subsystem Split”Productness is not a property of a vector without further structure. It is defined relative to a factorization
The same abstract Hilbert space can admit different identifications of subsystems. A vector may be product relative to one factorization and entangled relative to another.
Once the split is fixed, changing local bases does not change productness. If and are unitary, then
which is still a product state. Productness is therefore invariant under local unitary changes of basis.
A global unitary that does not factor as can map product states to entangled states.
Coefficient Factorization
Section titled “Coefficient Factorization”Choose product bases and . A general pure state is
If the local factors are
then bilinearity gives
Thus a product state has coefficients
Organize the coefficients into the matrix
The state is product exactly when the nonzero matrix has rank one. In that case,
where and collect the local amplitudes.
The matrix rank does not depend on local basis choices. An active local unitary , with the basis held fixed, changes the coefficient matrix as
Multiplication by invertible matrices preserves rank. For a passive basis change, the matrices appear with inverse/conjugate conventions instead; the rank is again unchanged.
Equivalent Pure-State Criteria
Section titled “Equivalent Pure-State Criteria”For a normalized bipartite pure state, the following statements are equivalent:
- factors as .
- Its coefficient matrix has rank one.
- Its Schmidt rank is one.
- Its reduced state has rank one.
- Its reduced state has rank one.
- Either reduced state is pure: .
- Every bounded product-observable expectation factorizes.
The coefficient test is usually fastest for small pure states. Reduced-state purity is convenient when density operators are already in use. Schmidt rank is the most structural criterion. The proofs involving reduced states and Schmidt decomposition are developed in reduced density operators and Schmidt decomposition.
These criteria apply to pure bipartite states. Mixed states require a different separability definition.
Two-Qubit Determinant Test
Section titled “Two-Qubit Determinant Test”Write a general two-qubit pure state as
Its coefficient matrix is
A nonzero matrix has rank one exactly when its determinant vanishes. Therefore
For example, a candidate product
expands to
The determinant condition follows:
The test also reconstructs factors. If and the determinant vanishes, then
Overall normalization can then be redistributed between the two factors. If , choose any nonzero row or column as the pivot.
Local States
Section titled “Local States”For a normalized product pure state,
where
Taking either partial trace returns the other factor:
Each subsystem therefore has its own pure state vector. This is the defining contrast with an entangled pure state, whose reduced states are mixed.
The local rays determine the product ray without any phase convention. Choosing phases is needed only to write particular vector representatives; observable predictions depend on the phase-independent density operators.
Factorized Local Statistics
Section titled “Factorized Local Statistics”Let be a measurement effect on and an effect on . In a product state,
This factorization holds for every pair of local measurements. For bounded local observables and ,
For unbounded observables, the corresponding moments must exist. Every well-defined connected local correlation then vanishes:
One uncorrelated measurement setting does not prove that a state is product. The criterion requires factorization for a tomographically complete set, or equivalently for all local observables.
Local Superposition Is Not Entanglement
Section titled “Local Superposition Is Not Entanglement”The state
is a product state. Subsystem is in a coherent superposition, while subsystem is sharp in the computational basis.
Expanding the tensor product gives
The presence of several product-basis terms is not an entanglement test. What matters is whether their coefficients factor into one set of amplitudes for and one for .
Similarly,
contains four computational-basis terms:
yet it is manifestly product.
Product States and Local Dynamics
Section titled “Product States and Local Dynamics”Local operators preserve product form whenever the output is nonzero:
In particular, local unitary evolution
cannot create entanglement from a product state. A coupling or other nonproduct operation is required to turn an initially product pure state into an entangled one.
The converse is also useful: local unitaries cannot remove entanglement from an entangled pure state. They change local bases while preserving Schmidt coefficients.
Product States Versus Product Measurements
Section titled “Product States Versus Product Measurements”A product state is a property of a preparation:
A product measurement is a property of a measurement effect:
These notions are independent:
- product measurements can be performed on entangled states;
- product states can be measured by global, nonproduct measurements;
- product measurements on product states give factorized probabilities;
- product measurements on nonproduct states may or may not reveal correlations in a chosen setting.
The apparatus structure does not determine whether the input state is product.
Pure Product, Mixed Product, and Separable
Section titled “Pure Product, Mixed Product, and Separable”For density operators, a product state has the form
The factors may themselves be mixed. This is stronger than separability.
A separable state may be a correlated mixture of products:
For example,
is separable but not product. Its computational-basis outcomes are classically correlated.
Thus the pure-state dichotomy
does not extend by replacing kets with arbitrary density operators. Mixed-state entanglement is defined by the absence of every separable decomposition. Continue to Separable Mixed States for the general definition and examples.
Multipartite Product Structure
Section titled “Multipartite Product Structure”For labeled subsystems, a fully product pure state is
Multipartite states can have intermediate factorization structure. For example,
is product across but is not fully product because and are entangled.
Therefore a multipartite claim should specify the partition: fully product, product across a chosen bipartition, or entangled across that bipartition.
Examples Across Degrees of Freedom
Section titled “Examples Across Degrees of Freedom”Product structure is not restricted to qubit labels. For position and spin,
is product across the position–spin split when the spinor is independent of . A position-dependent spinor generally does not factor this way.
For two distinguishable spinless particles on a line,
is product across the particle split. These examples emphasize that factorization is always relative to a specified tensor-product decomposition, not to a preferred notation or basis.
Equal basis probabilities can conceal entanglement
Section titled “Equal basis probabilities can conceal entanglement”Compare the two normalized states
Both give probability to each computational-basis outcome. Yet the first coefficient matrix has determinant zero and factors as , while the second has determinant and is entangled. Its marginal is .
The difference is a relative phase, not the probabilities in this one basis. This is why an entanglement test must retain complex amplitudes or use enough measurement settings to determine the needed coherences.
Common pitfalls
Section titled “Common pitfalls”Superposition alone is not entanglement. Several product-basis terms may combine into one product of local superpositions. Test their coefficient matrix, including phases.
A zero determinant is only a two-qubit shortcut. A larger square matrix may have zero determinant while having rank greater than one; a rectangular matrix has no determinant. Rank one is the general product criterion.
Mixed product and separable are different. A mixed product state has no correlations. A separable mixture can have correlations without entanglement.
References
Section titled “References”- Ingemar Bengtsson and Karol Życzkowski, Geometry of Quantum States, 2nd ed., Cambridge University Press, 2017, chapters on composite systems and entanglement.
- Michael A. Nielsen and Isaac L. Chuang, Quantum Computation and Quantum Information, 10th anniversary ed., Cambridge University Press, 2010, section 2.5.
- John Watrous, The Theory of Quantum Information, Cambridge University Press, 2018, chapters 1 and 6. Author-hosted text.
Exercises
Section titled “Exercises”- Factor the normalized state into normalized one-qubit states.
Solution
The second row of the coefficient matrix is twice the first. Factoring and distributing the norm gives
The tensor-product coefficients use an ordinary product of amplitudes, with no complex conjugation of the second factor.
- Use the determinant test to classify
Solution
The coefficient matrix is
Its determinant vanishes, so it has rank one. Explicitly,
- Determine whether
is product, and find its local factors.
Solution
The coefficient matrix is
Its rows are identical, so it has rank one. Factoring gives
- Let . Prove that local measurement effects and have factorized joint probabilities.
Solution
The joint probability is
The third line uses the trace rule for tensor-product operators.
- Show that the Bell state
is not product by computing the reduced state of subsystem .
Solution
The joint density operator is
Tracing out removes the cross terms because :
Its purity is
A bipartite pure state is product only if its reduced states are pure, so the Bell state is entangled.
- Explain why
is separable but not product.
Solution
It is separable because the displayed expression is a convex mixture of the two product states and .
Its reduced states are both . If it were the product of those marginals, then
which assigns probability to all four computational-basis outcomes. By contrast, assigns probability to and and zero to and . It is correlated and therefore not product.
- Prove that a local unitary maps every product pure state to another product pure state. Does the converse evolution create entanglement?
Solution
Apply the operator to the product:
The result is explicitly product. The inverse is also local:
Therefore local unitary evolution neither creates entanglement from a product state nor removes entanglement from an entangled pure state.
- Consider
Classify its product structure across and across .
Solution
Across , the state is explicitly product:
Across , write
The two states are orthogonal, so this expression has Schmidt rank two across . It is entangled across that split.
The state is therefore product across one bipartition without being fully product.