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Density matrix
Density matrix
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In quantum mechanics, a density matrix (or density operator) is a matrix used in calculating the probabilities of the outcomes of measurements performed on physical systems.[1] It is a generalization of the state vectors or wavefunctions: while those can only represent pure states, density matrices can also represent mixed ensembles of states.[2]: 73 [3]: 100  These arise in quantum mechanics in two different situations:

  1. when the preparation of a system can randomly produce different pure states, and thus one must deal with the statistics of the ensemble of possible preparations; and
  2. when one wants to describe a physical system that is entangled with another, without describing their combined state. This case is typical for a system interacting with some environment (e.g. decoherence). In this case, the density matrix of an entangled system differs from that of an ensemble of pure states that, combined, would give the same statistical results upon measurement.

Density matrices are thus crucial tools in areas of quantum mechanics that deal with mixed states (not to be confused with superposed states), such as quantum statistical mechanics, open quantum systems and quantum information.

Definition and motivation

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The density matrix is a representation of a linear operator called the density operator. The density matrix is obtained from the density operator by a choice of an orthonormal basis in the underlying space.[4] In practice, the terms density matrix and density operator are often used interchangeably.

Pick a basis with states , in a two-dimensional Hilbert space, then the density operator is represented by the matrix where the diagonal elements are real numbers that sum to one (also called populations of the two states , ). The off-diagonal elements are complex conjugates of each other (also called coherences); they are restricted in magnitude by the requirement that be a positive semi-definite operator, see below.

A density operator is a positive semi-definite, self-adjoint operator of trace one acting on the Hilbert space of the system.[5][6][7] This definition can be motivated by considering a situation where some pure states (which are not necessarily orthogonal) are prepared with probability each.[8] This is known as an ensemble of pure states. The probability of obtaining projective measurement result when using projectors is given by[3]: 99  which makes the density operator, defined as a convenient representation for the state of this ensemble. It is easy to check that this operator is positive semi-definite, self-adjoint, and has trace one. Conversely, it follows from the spectral theorem that every operator with these properties can be written as for some states and coefficients that are non-negative and add up to one.[9][3]: 102  However, this representation will not be unique, as shown by the Schrödinger–HJW theorem.

Another motivation for the definition of density operators comes from considering local measurements on entangled states. Let be a pure entangled state in the composite Hilbert space . The probability of obtaining measurement result when measuring projectors on the Hilbert space alone is given by[3]: 107  where denotes the partial trace over the Hilbert space . This makes the operator a convenient tool to calculate the probabilities of these local measurements. It is known as the reduced density matrix of on subsystem 1. It is easy to check that this operator has all the properties of a density operator. Conversely, the Schrödinger–HJW theorem implies that all density operators can be written as for some state .

Pure and mixed states

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A pure quantum state is a state that can not be written as a probabilistic mixture, or convex combination, of other quantum states.[7] There are several equivalent characterizations of pure states in the language of density operators.[2]: 73  A density operator represents a pure state if and only if:

  • it can be written as an outer product of a state vector with itself, that is,
  • it is a projection, in particular of rank one.
  • it is idempotent, that is
  • it has purity one, that is,

It is important to emphasize the difference between a probabilistic mixture (i.e. an ensemble) of quantum states and the superposition of two states. If an ensemble is prepared to have half of its systems in state and the other half in , it can be described by the density matrix:

where and are assumed orthogonal and of dimension 2, for simplicity. On the other hand, a quantum superposition of these two states with equal probability amplitudes results in the pure state with density matrix

Unlike the probabilistic mixture, this superposition can display quantum interference.[3]: 81 

In the Bloch sphere representation of a qubit, each point on the unit sphere stands for a pure state. All other density matrices correspond to points in the interior.

Geometrically, the set of density operators is a convex set, and the pure states are the extremal points of that set. The simplest case is that of a two-dimensional Hilbert space, known as a qubit. An arbitrary mixed state for a qubit can be written as a linear combination of the Pauli matrices, which together with the identity matrix provide a basis for self-adjoint matrices:[10]: 126 

where the real numbers are the coordinates of a point within the unit ball and

Points with represent pure states, while mixed states are represented by points in the interior. This is known as the Bloch sphere picture of qubit state space.

Example: light polarization

[edit]
The incandescent light bulb (1) emits completely random polarized photons (2) with mixed state density matrix:
.
After passing through vertical plane polarizer (3), the remaining photons are all vertically polarized (4) and have pure state density matrix:
.

An example of pure and mixed states is light polarization. An individual photon can be described as having right or left circular polarization, described by the orthogonal quantum states and or a superposition of the two: it can be in any state (with ), corresponding to linear, circular, or elliptical polarization. Consider now a vertically polarized photon, described by the state . If we pass it through a circular polarizer that allows either only polarized light, or only polarized light, half of the photons are absorbed in both cases. This may make it seem like half of the photons are in state and the other half in state , but this is not correct: if we pass through a linear polarizer there is no absorption whatsoever, but if we pass either state or half of the photons are absorbed.

Unpolarized light (such as the light from an incandescent light bulb) cannot be described as any state of the form (linear, circular, or elliptical polarization). Unlike polarized light, it passes through a polarizer with 50% intensity loss whatever the orientation of the polarizer; and it cannot be made polarized by passing it through any wave plate. However, unpolarized light can be described as a statistical ensemble, e. g. as each photon having either polarization or polarization with probability 1/2. The same behavior would occur if each photon had either vertical polarization or horizontal polarization with probability 1/2. These two ensembles are completely indistinguishable experimentally, and therefore they are considered the same mixed state. For this example of unpolarized light, the density operator equals[2]: 75 

There are also other ways to generate unpolarized light: one possibility is to introduce uncertainty in the preparation of the photon, for example, passing it through a birefringent crystal with a rough surface, so that slightly different parts of the light beam acquire different polarizations. Another possibility is using entangled states: a radioactive decay can emit two photons traveling in opposite directions, in the quantum state . The joint state of the two photons together is pure, but the density matrix for each photon individually, found by taking the partial trace of the joint density matrix, is completely mixed.[3]: 106 

Equivalent ensembles and purifications

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A given density operator does not uniquely determine which ensemble of pure states gives rise to it; in general there are infinitely many different ensembles generating the same density matrix.[11] Those cannot be distinguished by any measurement.[12] The equivalent ensembles can be completely characterized: let be an ensemble. Then for any complex matrix such that (a partial isometry), the ensemble defined by

will give rise to the same density operator, and all equivalent ensembles are of this form.

A closely related fact is that a given density operator has infinitely many different purifications, which are pure states that generate the density operator when a partial trace is taken. Let

be the density operator generated by the ensemble , with states not necessarily orthogonal. Then for all partial isometries we have that

is a purification of , where is an orthogonal basis, and furthermore all purifications of are of this form.

Measurement

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Let be an observable of the system, and suppose the ensemble is in a mixed state such that each of the pure states occurs with probability . Then the corresponding density operator equals

The expectation value of the measurement can be calculated by extending from the case of pure states:

where denotes trace. Thus, the familiar expression for pure states is replaced by

for mixed states.[2]: 73 

Moreover, if has spectral resolution

where is the projection operator into the eigenspace corresponding to eigenvalue , the post-measurement density operator is given by[13][14]

when outcome i is obtained. In the case where the measurement result is not known the ensemble is instead described by

If one assumes that the probabilities of measurement outcomes are linear functions of the projectors , then they must be given by the trace of the projector with a density operator. Gleason's theorem shows that in Hilbert spaces of dimension 3 or larger the assumption of linearity can be replaced with an assumption of non-contextuality.[15] This restriction on the dimension can be removed by assuming non-contextuality for POVMs as well,[16][17] but this has been criticized as physically unmotivated.[18]

Entropy

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The von Neumann entropy of a mixture can be expressed in terms of the eigenvalues of or in terms of the trace and logarithm of the density operator . Since is a positive semi-definite operator, it has a spectral decomposition such that , where are orthonormal vectors, , and . Then the entropy of a quantum system with density matrix is

This definition implies that the von Neumann entropy of any pure state is zero.[19]: 217  If are states that have support on orthogonal subspaces, then the von Neumann entropy of a convex combination of these states,

is given by the von Neumann entropies of the states and the Shannon entropy of the probability distribution :

When the states do not have orthogonal supports, the sum on the right-hand side is strictly greater than the von Neumann entropy of the convex combination .[3]: 518 

Given a density operator and a projective measurement as in the previous section, the state defined by the convex combination

which can be interpreted as the state produced by performing the measurement but not recording which outcome occurred,[10]: 159  has a von Neumann entropy larger than that of , except if . It is however possible for the produced by a generalized measurement, or POVM, to have a lower von Neumann entropy than .[3]: 514 

Von Neumann equation for time evolution

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Just as the Schrödinger equation describes how pure states evolve in time, the von Neumann equation (also known as the Liouville–von Neumann equation) describes how a density operator evolves in time. The von Neumann equation dictates that[20][21][22]

where the brackets denote a commutator.

This equation only holds when the density operator is taken to be in the Schrödinger picture, even though this equation seems at first look to emulate the Heisenberg equation of motion in the Heisenberg picture, with a crucial sign difference:

where is some Heisenberg picture operator; but in this picture the density matrix is not time-dependent, and the relative sign ensures that the time derivative of the expected value comes out the same as in the Schrödinger picture.[7]

If the Hamiltonian is time-independent, the von Neumann equation can be easily solved to yield

For a more general Hamiltonian, if is the wavefunction propagator over some interval, then the time evolution of the density matrix over that same interval is given by

If one enters the interaction picture, choosing to focus on some component of the Hamiltonian , the equation for the evolution of the interaction-picture density operator possesses identical structure to the von Neumann equation, except the Hamiltonian must also be transformed into the new picture:

where .

Wigner functions and classical analogies

[edit]

The density matrix operator may also be realized in phase space. Under the Wigner map, the density matrix transforms into the equivalent Wigner function,

The equation for the time evolution of the Wigner function, known as Moyal equation, is then the Wigner-transform of the above von Neumann equation,

where is the Hamiltonian, and is the Moyal bracket, the transform of the quantum commutator.

The evolution equation for the Wigner function is then analogous to that of its classical limit, the Liouville equation of classical physics. In the limit of a vanishing Planck constant , reduces to the classical Liouville probability density function in phase space.

Example applications

[edit]

Density matrices are a basic tool of quantum mechanics, and appear at least occasionally in almost any type of quantum-mechanical calculation. Some specific examples where density matrices are especially helpful and common are as follows:

  • Statistical mechanics uses density matrices, most prominently to express the idea that a system is prepared at a nonzero temperature. Constructing a density matrix using a canonical ensemble gives a result of the form , where is the inverse temperature and is the system's Hamiltonian. The normalization condition that the trace of be equal to 1 defines the partition function to be . If the number of particles involved in the system is itself not certain, then a grand canonical ensemble can be applied, where the states summed over to make the density matrix are drawn from a Fock space.[23]: 174 
  • Quantum decoherence theory typically involves non-isolated quantum systems developing entanglement with other systems, including measurement apparatuses. Density matrices make it much easier to describe the process and calculate its consequences. Quantum decoherence explains why a system interacting with an environment transitions from being a pure state, exhibiting superpositions, to a mixed state, an incoherent combination of classical alternatives. This transition is fundamentally reversible, as the combined state of system and environment is still pure, but for all practical purposes irreversible, as the environment is a very large and complex quantum system, and it is not feasible to reverse their interaction. Decoherence is thus very important for explaining the classical limit of quantum mechanics, but cannot explain wave function collapse, as all classical alternatives are still present in the mixed state, and wave function collapse selects only one of them.[24]
  • Similarly, in quantum computation, quantum information theory, open quantum systems, and other fields where state preparation is noisy and decoherence can occur, density matrices are frequently used. Noise is often modelled via a depolarizing channel or an amplitude damping channel. Quantum tomography is a process by which, given a set of data representing the results of quantum measurements, a density matrix consistent with those measurement results is computed.[25][26]
  • When analyzing a system with many electrons, such as an atom or molecule, an imperfect but useful first approximation is to treat the electrons as uncorrelated or each having an independent single-particle wavefunction. This is the usual starting point when building the Slater determinant in the Hartree–Fock method. If there are electrons filling the single-particle wavefunctions and if only single-particle observables are considered, then their expectation values for the -electron system can be computed using the density matrix (the one-particle density matrix of the -electron system).[27]

C*-algebraic formulation of states

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It is now generally accepted that the description of quantum mechanics in which all self-adjoint operators represent observables is untenable.[28][29] For this reason, observables are identified with elements of an abstract C*-algebra A (that is one without a distinguished representation as an algebra of operators) and states are positive linear functionals on A. However, by using the GNS construction, we can recover Hilbert spaces that realize A as a subalgebra of operators.

Geometrically, a pure state on a C*-algebra A is a state that is an extreme point of the set of all states on A. By properties of the GNS construction these states correspond to irreducible representations of A.

The states of the C*-algebra of compact operators K(H) correspond exactly to the density operators, and therefore the pure states of K(H) are exactly the pure states in the sense of quantum mechanics.

The C*-algebraic formulation can be seen to include both classical and quantum systems. When the system is classical, the algebra of observables become an abelian C*-algebra. In that case the states become probability measures.

History

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This formalism of the operators and matrices was introduced in 1927 by John von Neumann[30] and independently, but less systematically, by Lev Landau[31] and later in 1946 by Felix Bloch.[32] Von Neumann introduced a matrix in order to develop both quantum statistical mechanics and a theory of quantum measurements. The term density was introduced by Dirac in 1931 when he used von Neumann's operator to calculate electron density clouds.[33][34]

Nowadays the term "density matrix" obtained a significance of its own, and corresponds to a classical phase-space probability measure (probability distribution of position and momentum) in classical statistical mechanics, which was introduced by Eugene Wigner in 1932.[5]

In contrast, the motivation that inspired Landau was the impossibility of describing a subsystem of a composite quantum system by a state vector.[31]

See also

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Notes and references

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
In quantum mechanics, the density matrix, also known as the density operator, is a Hermitian, positive semi-definite operator with unit trace that provides a complete statistical description of a quantum system's state, generalizing the pure state wavefunction to accommodate mixed states arising from incomplete knowledge or ensemble averaging. Introduced by in 1927 and independently by , it formalizes the probabilities of measurement outcomes without specifying the underlying pure states, making it essential for open quantum systems and statistical mechanics. For a pure state represented by a wavefunction ψ|\psi\rangle, the density matrix is ρ^=ψψ\hat{\rho} = |\psi\rangle\langle\psi|, while for a mixed state with probabilities pip_i over orthonormal pure states i|i\rangle, it is ρ^=ipiii\hat{\rho} = \sum_i p_i |i\rangle\langle i|, ensuring that expectation values of observables A^\hat{A} are computed as A=Tr(ρ^A^)\langle A \rangle = \mathrm{Tr}(\hat{\rho} \hat{A}). This formulation extends classical probability distributions to quantum theory by incorporating coherence and superposition effects, and it underpins applications in quantum information, decoherence, and thermodynamics. Key properties include idempotence for pure states (ρ^2=ρ^\hat{\rho}^2 = \hat{\rho}) and the von Neumann entropy S=Tr(ρ^lnρ^)S = -\mathrm{Tr}(\hat{\rho} \ln \hat{\rho}) as a measure of mixedness, which quantifies quantum uncertainty beyond classical limits.

Basic Concepts

Definition and motivation

The density matrix, also known as the density operator or statistical operator, was introduced by in his 1927 papers to establish a rigorous foundation for , specifically addressing the description of ensembles of prepared under conditions of incomplete information. This approach was motivated by the necessity to extend beyond individual pure states, enabling the treatment of statistical mixtures where multiple systems or repeated measurements yield probabilistic outcomes reflective of underlying quantum uncertainties. Independently, proposed a similar concept around the same time for handling such ensembles in quantum theory. In , the wave function provides a complete description of a single pure state, capturing all properties deterministically (up to phase). However, real-world scenarios often involve statistical ensembles, such as or partially decohered systems, where the state is a probabilistic superposition—or more precisely, a classical —of pure states, necessitating a more general formalism to compute averages without specifying the exact realization. The density matrix resolves this limitation by representing the system's state as a single operator that encodes both quantum coherence and classical probabilities. Formally, for an ensemble with probabilities pip_i and corresponding orthonormal pure states ψi|\psi_i\rangle, the density matrix ρ\rho is defined as ρ=ipiψiψi,\rho = \sum_i p_i |\psi_i\rangle \langle \psi_i|, where each pi0p_i \geq 0 and ipi=1\sum_i p_i = 1. This operator is Hermitian (ρ=ρ\rho^\dagger = \rho), as the adjoint of each projector ψiψi|\psi_i\rangle \langle \psi_i| is itself, and positive semi-definite, with eigenvalues pi0p_i \geq 0. Additionally, the normalization condition ensures Tr(ρ)=1\operatorname{Tr}(\rho) = 1, reflecting the total probability of the ensemble. The utility of this representation is evident in calculating expectation values: for a Hermitian AA, the average A\langle A \rangle over the ensemble is A=ipiψiAψi\langle A \rangle = \sum_i p_i \langle \psi_i | A | \psi_i \rangle. This simplifies to the trace form A=Tr(ρA)\langle A \rangle = \operatorname{Tr}(\rho A), derived by inserting the definition of ρ\rho and using the cyclic property of the trace: ipiψiAψi=ipiTr(ψiψiA)=Tr((ipiψiψi)A)=Tr(ρA)\sum_i p_i \langle \psi_i | A | \psi_i \rangle = \sum_i p_i \operatorname{Tr}(|\psi_i\rangle \langle \psi_i | A) = \operatorname{Tr}\left( \left( \sum_i p_i |\psi_i\rangle \langle \psi_i | \right) A \right) = \operatorname{Tr}(\rho A). This expression unifies the treatment of pure and mixed states, with pure states appearing as the special case ρ=ψψ\rho = |\psi\rangle \langle \psi|.

Pure and mixed states

In , a pure state is represented by a density matrix of the form ρ=ψψ\rho = |\psi\rangle\langle\psi|, where ψ|\psi\rangle is a normalized state vector in the , satisfying ψψ=1\langle\psi|\psi\rangle = 1. This form ensures that the density matrix is a rank-one , idempotent such that ρ2=ρ\rho^2 = \rho, and has trace unity, Tr(ρ)=1\operatorname{Tr}(\rho) = 1. In contrast, a mixed state corresponds to a density matrix ρ\rho that cannot be expressed as ψψ|\psi\rangle\langle\psi| for any single ψ|\psi\rangle, typically arising from an ensemble of pure states. The distinction between pure and mixed states is mathematically characterized by the purity Tr(ρ2)\operatorname{Tr}(\rho^2). For pure states, Tr(ρ2)=1\operatorname{Tr}(\rho^2) = 1, reflecting maximal quantum coherence and no classical . For mixed states, 0<Tr(ρ2)<10 < \operatorname{Tr}(\rho^2) < 1, with the value quantifying the degree of mixing; lower purity indicates greater classical-like probabilistic . Since ρ\rho is Hermitian and positive semi-definite, it admits a spectral decomposition ρ=iλiii\rho = \sum_i \lambda_i |i\rangle\langle i|, where λi0\lambda_i \geq 0 are the eigenvalues summing to 1 (interpretable as probabilities) and i|i\rangle are the orthonormal eigenvectors. In this basis, pure states have exactly one λi=1\lambda_i = 1 and the rest zero, while mixed states have multiple nonzero λi<1\lambda_i < 1. Pure states embody full quantum superposition and coherence, whereas mixed states often result from incomplete knowledge of the system, represented as an average over an ensemble of pure states weighted by classical probabilities. For instance, if an ensemble consists of pure states ψk|\psi_k\rangle with probabilities pkp_k, then ρ=kpkψkψk\rho = \sum_k p_k |\psi_k\rangle\langle\psi_k|. This ensemble interpretation underscores how mixed states incorporate both quantum indeterminacy and classical ignorance. Any two pure state vectors ψ|\psi\rangle and ϕ|\phi\rangle representing the same density matrix ρ=ψψ=ϕϕ\rho = |\psi\rangle\langle\psi| = |\phi\rangle\langle\phi| are related by a unitary transformation, ϕ=Uψ|\phi\rangle = U |\psi\rangle, where UU is a unitary operator with UU=IU^\dagger U = I. This equivalence highlights the non-uniqueness of the state vector representation for pure states, but the density matrix ρ\rho remains invariant under such transformations.

Example: light polarization

A fundamental example of the density matrix arises in the description of light polarization, where photons serve as effective two-level quantum systems. The standard basis consists of horizontal and vertical polarization states, denoted as |H⟩ and |V⟩, respectively. In this basis, the density matrix ρ is a 2×2 Hermitian operator that captures both the polarization direction and any incoherence. Consider a pure state representing fully polarized light at 45° to the horizontal. This corresponds to the coherent superposition |+⟩ = \frac{1}{\sqrt{2}} (|H⟩ + |V⟩), with density matrix ρ = |+⟩⟨+|. Explicitly, ρ=12(1111),\rho = \frac{1}{2} \begin{pmatrix} 1 & 1 \\ 1 & 1 \end{pmatrix}, which features equal diagonal elements and maximal off-diagonal coherence, reflecting the quantum superposition. In contrast, unpolarized light—a classical mixture—has density matrix ρ = \frac{1}{2} (|H⟩⟨H| + |V⟩⟨V|), or ρ=12(1001),\rho = \frac{1}{2} \begin{pmatrix} 1 & 0 \\ 0 & 1 \end{pmatrix}, with equal eigenvalues of 1/2 and vanishing off-diagonals, indicating no phase coherence between basis states. To measure polarization, consider an observable given by the projector P_θ onto the state polarized at angle θ, P_θ = |θ⟩⟨θ| where |θ⟩ = cos θ |H⟩ + sin θ |V⟩. The probability of transmission through a polarizer at θ is Tr(ρ P_θ). For the pure state ρ = |+⟩⟨+|, this yields sin²(θ) or cos²(θ - π/4), depending on alignment, while for the unpolarized mixed state, it simplifies to 1/2 regardless of θ, averaging over random orientations as in classical Malus' law. This highlights how the density matrix distinguishes quantum coherence from classical statistical mixtures. The two-dimensional nature of polarization allows visualization on the Poincaré sphere, analogous to the for qubits. Pure states like |+⟩ lie on the sphere's surface, corresponding to points with full polarization (degree of polarization P=1), while mixed states such as unpolarized light occupy the interior (P<1), with the maximally mixed state at the center. Physically, a transition from pure to mixed states occurs via decoherence, where environmental interactions—such as scattering or absorption—randomize the relative phase between |H⟩ and |V⟩ components, suppressing off-diagonal elements and eroding quantum coherence.

Formal Properties

Ensembles and purifications

The density matrix ρ\rho offers a statistical interpretation for quantum systems described by an ensemble consisting of probabilities {pi}\{p_i\} and corresponding pure states ψi|\psi_i\rangle, such that ρ=ipiψiψi\rho = \sum_i p_i |\psi_i\rangle\langle\psi_i|, where ipi=1\sum_i p_i = 1 and each pi0p_i \geq 0. This formulation, introduced by von Neumann, allows ρ\rho to encapsulate the average behavior of the ensemble without specifying the individual states, making it particularly useful for describing incomplete knowledge of a system's preparation. A key feature of this interpretation is the non-uniqueness of the ensemble for a given ρ\rho: any mixed density matrix (with Tr(ρ2)<1\operatorname{Tr}(\rho^2) < 1) admits infinitely many distinct decompositions into ensembles {pi,ψi}\{p_i, |\psi_i\rangle\} that yield the same ρ\rho, as different sets of pure states can be combined with adjusted probabilities to produce identical mixtures. For instance, a mixed state diagonal in its eigenbasis, ρ=iλiii\rho = \sum_i \lambda_i |i\rangle\langle i| with 0<λi<10 < \lambda_i < 1, can be expressed as a convex combination of pure states in various ways beyond the trivial eigenstate decomposition. In contrast, pure states (Tr(ρ2)=1\operatorname{Tr}(\rho^2) = 1) have a unique trivial ensemble consisting of a single state with probability 1. To address the incompleteness inherent in mixed states, the concept of purification embeds ρ\rho into a pure state of a larger composite system. Specifically, for a mixed density matrix ρA\rho_A on subsystem AA, there exists a pure state ΨAB|\Psi\rangle_{AB} on the bipartite system ABA \otimes B (where BB acts as an auxiliary or environmental system) such that ρA=TrB(ΨΨAB)\rho_A = \operatorname{Tr}_B(|\Psi\rangle\langle\Psi|_{AB}), with the dimension of BB at least as large as that of AA. This purification is constructed using the spectral decomposition ρA=iλiiiA\rho_A = \sum_i \lambda_i |i\rangle\langle i|_A (where λi>0\lambda_i > 0 are the nonzero eigenvalues), yielding ΨAB=iλiiAiB|\Psi\rangle_{AB} = \sum_i \sqrt{\lambda_i} |i\rangle_A |i\rangle_B
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