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Density Matrices & Partial Trace PHYS 4051 - Quantum Mechanics
1 Why Density Matrices Appear
1.1 Physical Motivation
In standard quantum mechanics, we describe systems using state vectors |ω.Thisworks
perfectly for pure states—completely specified quantum states. However, in real phys-
ical situations, we often encounter:
1. Entangled composite systems: When system A is entangled with system B, we
cannot fully describe A alone with a single state vector, even if the joint system AB
is pure.
2. Statistical mixtures:Asystemmightbeinstate|ω1with probability p1or in
state |ω2with probability p2. This is fundamentally di!erentfromaquantum
superposition.
3. Subsystems of entangled states:IfweonlyhaveaccesstosubsystemA(and
cannot measure B), the state of A appears mixed from our perspective, even though
AB is pure.
1.2 The Logic Flow
The fundamental physical picture is:
Complete description (full system): Pure state |ωABin HAH
B
Partial description (subsystem A only): Must use density operator εAto account
for our ignorance of B
Measurement predictions: For observables on A alone, we compute expectation
values using Tr(εAOA)
Entropy: Quantifies how “mixed” a state is—how much information is hidden
The density operator is the natural mathematical tool for describing states when we
have incomplete information about the quantum system.
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1 Why Density Matrices Appear

1.1 Physical Motivation

In standard quantum mechanics, we describe systems using state vectors |ω→. This works perfectly for pure states—completely specified quantum states. However, in real phys- ical situations, we often encounter:

  1. Entangled composite systems: When system A is entangled with system B, we cannot fully describe A alone with a single state vector, even if the joint system AB is pure.
  2. Statistical mixtures: A system might be in state |ω 1 → with probability p 1 or in state |ω 2 → with probability p 2. This is fundamentally di!erent from a quantum superposition.
  3. Subsystems of entangled states: If we only have access to subsystem A (and cannot measure B), the state of A appears mixed from our perspective, even though AB is pure.

1.2 The Logic Flow

The fundamental physical picture is:

  • Complete description (full system): Pure state |ω (^) AB → in H (^) A ↑ H (^) B
  • Partial description (subsystem A only): Must use density operator εA to account for our ignorance of B
  • Measurement predictions: For observables on A alone, we compute expectation values using Tr(εA O (^) A )
  • Entropy: Quantifies how “mixed” a state is—how much information is hidden

The density operator is the natural mathematical tool for describing states when we have incomplete information about the quantum system.

2 Definition and Properties

2.1 Definition of Density Matrix

A density operator (or density matrix) ε is an operator on Hilbert space that de- scribes a quantum state. It can be written as:

ε =

k

p (^) k |ω (^) k →↓ω (^) k | (1)

where p (^) k ↔ 0 are probabilities and

k p^ k^ = 1. Physical interpretation: The system is in state |ω (^) k → with probability p (^) k.

2.2 Key Mathematical Properties

Every valid density operator must satisfy:

  1. Hermitian: ε†^ = ε
    • All eigenvalues are real (measurable quantities)
  2. Trace equals one: Tr(ε) = 1
    • Sum of all probabilities equals 1
    • If ε =

k p^ k^ |ω^ k^ →↓ω^ k^ |, then Tr(ε) =^

k p^ k^ = 1

  1. Positive semi-definite: ↓ϑ| ε |ϑ→ ↔ 0 for all |ϑ→
    • All eigenvalues ϖi ↔ 0
    • This is equivalent to saying ε has a spectral decomposition

2.3 Spectral Decomposition

Any density matrix can be diagonalized:

ε =

k

ϖ (^) k |ϱk →↓ϱ (^) k | (2)

where:

  • ϖk are eigenvalues (probabilities): ϖ (^) k ↔ 0,

k ϖ^ k^ = 1

  • |ϱk → are orthonormal eigenvectors
  • Physical meaning: We can think of the system as being in eigenstate |ϱk → with probability ϖ (^) k

4 The Partial Trace

4.1 Definition and Intuition

The partial trace is an operation that “traces out” (removes) information about one subsystem while keeping the description of the other subsystem. For a bipartite system with Hilbert space H (^) A ↑ H (^) B , the partial trace of operator O ↘ H (^) A ↑ H (^) B over subsystem B is:

Tr (^) B (O) =

∑^ d^ B

j=

(I (^) A ↑ ↓b (^) j |)O(I (^) A ↑ |b (^) j →) (8)

where {|b (^) j →} d j^ B=1 is any orthonormal basis of H (^) B. Key property: This definition is basis-independent—the result doesn’t depend on which basis we choose.

4.2 Why Partial Trace Works

Consider a product state |ϑ (^) A → ↑ |ω (^) B →:

Tr (^) B (|ϑ (^) A →↓ϑ (^) A | ↑ |ω (^) B →↓ω (^) B |) = |ϑ (^) A →↓ϑ (^) A | · Tr(|ω (^) B →↓ω (^) B |) = |ϑ (^) A →↓ϑ (^) A | (9) since Tr(|ω (^) B →↓ω (^) B |) = 1. For a general product operator O (^) A ↑ O (^) B :

Tr (^) B (O (^) A ↑ O (^) B ) = OA · Tr(OB ) (10) This shows that tracing out B e!ectively “collapses” the B-part while leaving A un- changed.

5 Reduced Density Matrices

5.1 Definition

For a bipartite system in state |ω (^) AB →, or more generally with density operator ε (^) AB , the reduced density matrix of subsystem A is:

εA = Tr (^) B (ε (^) AB ) (11) Similarly, for subsystem B:

εB = Tr (^) A (ε (^) AB ) (12)

5.2 Computing the Partial Trace: Explicit Formula

If ε (^) AB acts on H (^) A ↑ H (^) B and {|b (^) j →} is an orthonormal basis of H (^) B :

ε (^) A = Tr (^) B (ε (^) AB ) =

j

(I (^) A ↑ ↓b (^) j |)εAB (I (^) A ↑ |b (^) j →) (13)

Matrix form: If we expand εAB in the product basis {|a (^) i , b (^) j →} = {|a (^) i → ↑ |b (^) j →}:

ε (^) AB =

i,i →^ ,j,j →

c (^) ij,i →^ j →^ |ai , bj → ↓ai →^ , bj →^ | (14)

Then:

ε (^) A =

i,i →^ ,j

c (^) ij,i → (^) j |ai → ↓ai → | (15)

Notice: We only sum over states with matching B indices (j = j →^ ).

5.3 Example: Two Qubits

Consider a system of two qubits with state:

ε (^) AB =

(Here, |ij→ = |i→ (^) A ↑ |j→ (^) B ) To find ε (^) A , use the basis {| 0 → (^) B , | 1 → (^) B }: For j = 0: (I (^) A ↑ ↓ 0 | (^) B )ε (^) AB (I (^) A ↑ | 0 → (^) B ) =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A (17)

For j = 1: (I (^) A ↑ ↓ 1 | (^) B )ε (^) AB (I (^) A ↑ | 1 → (^) B ) =

| 0 → ↓ 0 | A (18)

Therefore:

ε (^) A =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A +

| 0 → ↓ 0 | A =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A (19)

6 Purification and Schmidt Decomposition

6.1 The Purification Problem

Question: Given a density operator ε (^) A on H (^) A , can we always find a larger Hilbert space H (^) B and a pure state |ω (^) AB → ↘ HA ↑ H (^) B such that:

εA = Tr (^) B (|ω (^) AB →↓ω (^) AB |) (21) Answer: Yes! This process is called purification.

6.2 Canonical Purification

Given the spectral decomposition εA =

k p^ k^ |ϱk^ →↓ϱ^ k^ |^ with^ p^ k^ >^ 0, construct an ancilla (auxiliary) system B with orthonormal basis {|ςk →} and define:

|ω (^) AB → =

k

p (^) k |ϱk → (^) A ↑ |ς (^) k → (^) B (22)

Then:

Tr (^) B (|ω (^) AB →↓ω (^) AB |) =

k

p (^) k |ϱk →↓ϱ (^) k | (^) A = εA (23)

Key properties:

  • The minimal dimension of the ancilla is rank(εA ) (the number of non-zero eigen- values)
  • Purifications are unique up to unitary transformations on the ancilla

6.3 Schmidt Decomposition

For a pure state |ω (^) AB → ↘ H (^) A ↑ H (^) B , the Schmidt decomposition expresses it as:

|ω (^) AB → =

∑^ r

k=

s (^) k |ϱk → (^) A ↑ |ς (^) k → (^) B (24)

where:

  • sk ↔ 0 are Schmidt coe”cients with

k s^ (^2) k = 1

  • {|ϱk → (^) A } and {|ςk → (^) B } are orthonormal sets
  • r is the Schmidt rank (minimum number of terms needed)

6.4 Reduced States and Schmidt Decomposition

From the Schmidt decomposition, the reduced density matrices are:

ε (^) A = Tr (^) B (|ω (^) AB →↓ω (^) AB |) =

k

s (^2) k |ϱk →↓ϱ (^) k | (^) A (25)

ε (^) B = Tr (^) A (|ω (^) AB →↓ω (^) AB |) =

k

s (^2) k |ς (^) k →↓ς (^) k | (^) B (26)

Important: Both reduced density matrices have the same spectrum {s^2 k }.

6.5 Example: Bell State

Consider the maximally entangled state:

∣∣ ” +^

This is already in Schmidt form with:

  • Schmidt rank: r = 2
  • Schmidt coe#cients: s 1 = s 2 = ↑^12

The reduced states are:

ε (^) A =

I

ε (^) B =

I

Both are maximally mixed states—complete ignorance about each qubit individu- ally.

8 Example Worked Problems

8.1 Problem 1: Pure Product State

Question: For a two-qubit system in state |ω→ = | 0 → (^) A | 1 → (^) B , find the reduced density matrices. Solution: The joint density operator is:

εAB = |ω→↓ω| = | 01 → ↓ 01 | (32)

To find ε (^) A , trace over B using basis {| 0 → (^) B , | 1 → (^) B }:

ε (^) A =

j

(I (^) A ↑ ↓j| (^) B ) | 01 → ↓ 01 | (I (^) A ↑ |j→ (^) B ) (33)

For j = 0: ↓ 0 | (^) B 01 → = 0 For j = 1: ↓ 1 | (^) B 01 → = ↓ 1 | 1 → = 1

ε (^) A = | 0 → (^) A ↓ 0 | (^) A = | 0 → ↓ 0 | (34) This is a pure state since (εA ) 2 = εA. Similarly, εB = | 1 → ↓ 1 | is also pure. Key insight: Product states have pure reduced states for both subsystems.

8.2 Problem 2: Entangled State

Question: For a two-qubit system in the Bell state |” +^ → = ↑^12 (| 00 → + | 11 →), compute:

  1. The joint density operator
  2. The reduced density matrix of qubit A
  3. The von Neumann entropy of ε (^) A

Solution: Part 1: Joint density operator

εAB =

” +^

” +^

Part 2: Reduced density matrix for A using basis {| 0 → (^) B , | 1 → (^) B }: For j = 0: (I (^) A ↑ ↓ 0 | (^) B )ε (^) AB (I (^) A ↑ | 0 → (^) B ) =

| 0 → ↓ 0 | A (36)

For j = 1: (I (^) A ↑ ↓ 1 | (^) B )ε (^) AB (I (^) A ↑ | 1 → (^) B ) =

| 1 → ↓ 1 | A (37)

Therefore: εA =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A =

I

Part 3: Von Neumann entropy Eigenvalues of εA : { 1 / 2 , 1 / 2 }

S(ε (^) A ) = ⇐

ln(1/2) ⇐

ln(1/2) = ln 2 (39) Key insight: The joint state is pure (S(ε (^) AB ) = 0), but the reduced state is maximally mixed (S(ε (^) A ) = ln 2). This is the hallmark of entanglement.

9.2 Question 2: Pure vs Mixed States (10 marks)

Question: Consider two density operators for a qubit:

  • ε 1 = |+→ ↓+| where |+→ = ↑^12 (| 0 → + | 1 →)
  • ε 2 = 12 | 0 → ↓ 0 | + 12 | 1 → ↓ 1 | Part a) [5 marks] For each state, calculate Tr(ε^2 ) and determine whether it is pure or mixed. Part b) [5 marks] Write out ε 1 and ε 2 as 2 ⇑ 2 matrices in the computational basis {| 0 → , | 1 →}. Explain physically why ε 2 is mixed while ε 1 is pure, without referring to the trace.

Complete Solution

Part a) Answer: For ε 1 = |+→ ↓+|: First, calculate ε^21 :

ε 21 = (|+→ ↓+|)(|+→ ↓+|) = |+→ ↓+|+→ ↓+| = |+→ ↓+| = ε 1 (43)

Therefore: Tr

ε^21

= Tr(ε 1 ) = 1 (44) Conclusion: ε 1 is a pure state. For ε 2 = 12 | 0 → ↓ 0 | + 12 | 1 → ↓ 1 |: Calculate ε 22 :

ε 22 =

Therefore: Tr

ε (^22)

Conclusion: ε 2 is a mixed state. Part b) Answer: Matrix representation for ε 1 = |+→ ↓+|: First, compute |+→ ↓+|:

|+→ ↓+| =

In matrix form (computational basis {| 0 → , | 1 →}):

ε 1 =

Matrix representation for ε 2 = 12 | 0 → ↓ 0 | + 12 | 1 → ↓ 1 |:

ε 2 =

Physical explanation: ε 1 has o!-diagonal terms (the 1 entries in the upper-right and lower-left corners). These o!-diagonal elements represent quantum coherence—the system is in a coherent superposition of | 0 → and | 1 →. This coherence is characteristic of a pure state. ε 2 is diagonal with no o!-diagonal terms. This means there is no quantum co- herence—the system is equally in state | 0 → OR in state | 1 → with equal probability 1/ 2 each. This is a classical probabilistic mixture, not a quantum superposition, which is characteristic of a mixed state. The key di!erence: Quantum superposition (pure) vs. classical probability mixture (mixed).

Evaluating:

(I (^) A ↑ ↓ 1 | (^) B ) | 00 → ↓ 00 | (I (^) A ↑ | 1 → (^) B ) = 0 (since ↓ 1 | 0 → = 0) (64) (I (^) A ↑ ↓ 1 | (^) B ) | 01 → ↓ 01 | (I (^) A ↑ | 1 → (^) B ) = | 0 → (^) A ↓ 0 | (^) A · ↓ 1 | 1 → · ↓ 1 | 1 → = | 0 → ↓ 0 | (^) A (65) (I (^) A ↑ ↓ 1 | (^) B ) | 10 → ↓ 10 | (I (^) A ↑ | 1 → (^) B ) = 0 (since ↓ 1 | 0 → = 0) (66)

Therefore: (I (^) A ↑ ↓ 1 | (^) B )ε (^) AB (I (^) A ↑ | 1 → (^) B ) =

| 0 → ↓ 0 | A (67)

Step 3: Sum both contributions:

ε (^) A =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A

| 0 → ↓ 0 | A =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A (68)

Part b) Answer:

Tr(ε (^) A ) =

Tr(| 0 → ↓ 0 |) +

Tr(| 1 → ↓ 1 |) =

Interpretation: The trace equals 1, as required by the definition of a valid density operator. This confirms that ε (^) A describes a properly normalized quantum state where probabilities sum to 1. The fact that we start with a joint state (Tr(εAB ) = 1) and obtain a normalized reduced state (Tr(εA ) = 1) is a fundamental property of the partial trace operation. Part c) Answer: To determine if ε (^) A is pure or mixed, calculate Tr(ε^2 A ):

ε (^2) A =

Therefore: Tr

ε (^2) A

Conclusion: Since Tr(ε^2 A ) < 1, the state ε (^) A is mixed. This makes physical sense: the original joint state contains information about both qubits, but when we trace out (discard information about) qubit B, we lose information about the correlations between A and B. This lost information manifests as mixedness in the reduced state ε (^) A.

9.4 Question 4: Bell State and Entanglement (15 marks)

Question: The Bell state is defined as:

∣∣ $ +^

Part a) [5 marks] Write the joint density operator εAB = |$+^ →↓$ +^ | and compute its von Neumann entropy S(ε (^) AB ). What does this tell us about the purity of the joint state? Part b) [8 marks] Calculate the reduced density matrices ε (^) A = Tr (^) B (ε (^) AB ) and εB = Tr (^) A (ε (^) AB ) using the explicit definition of partial trace. Show that both reduced states are identical and characterize their degree of mixedness. Part c) [2 marks] Explain why the fact that the joint state is pure but the reduced states are mixed is a signature of entanglement.

Complete Solution

Part a) Answer: Joint density operator:

ε (^) AB =

$ +^

$ +^

Von Neumann entropy: Since ε (^) AB is a pure state, it has only one eigenvalue equal to 1 (and all others equal to 0). Therefore:

S(ε (^) AB ) = ⇐ Tr(εAB ln εAB ) = ⇐(1 · ln 1 + 0 · ln 0) = 0 (75) Physical interpretation: The zero entropy indicates that the joint system is in a pure state—it is completely determined with no quantum uncertainty. All information about the joint system is available; there is no missing information about the state of the composite system AB. Part b) Answer: Calculate εA = Tr (^) B (ε (^) AB ): Using basis {| 0 → (^) B , | 1 → (^) B }: For j = 0:

(I (^) A ↑ ↓ 0 | (^) B )ε (^) AB (I (^) A ↑ | 0 → (^) B ) (76)

=

(I A ↑ ↓ 0 | B )(| 00 → ↓ 00 | + | 00 → ↓ 11 | + | 11 → ↓ 00 | + | 11 → ↓ 11 |)(I A ↑ | 0 → B ) (77)

(| 0 → ↓ 0 | A · 1 · 1 + | 0 → ↓ 1 | A · 1 · 0 + | 1 → ↓ 0 | A · 0 · 1 + | 1 → ↓ 1 | A · 0 · 0) (78)

| 0 → ↓ 0 | A (79)

9.5 Question 5: Schmidt Decomposition (15 marks)

Question: Consider the two-qubit state:

|ω→ =

| 0 → A | 0 → B +

| 1 → A | 1 → B (89)

Part a) [5 marks] This state is already in Schmidt form. Identify:

  • The Schmidt rank r
  • The Schmidt coe#cients s (^) k
  • The Schmidt bases {|ϱk → (^) A } and {|ςk → (^) B }

Part b) [8 marks] Compute the reduced density matrices ε (^) A and εB directly from the Schmidt decomposition. Verify that they are identical and show their spectral de- composition. Part c) [2 marks] What is the von Neumann entropy of εA? Interpret the result in terms of entanglement.

Complete Solution

Part a) Answer: The state is given as:

|ω→ =

| 0 → A | 0 → B +

| 1 → A | 1 → B (90)

This is already in Schmidt form: |ω→ =

k s^ k^ |ϱk^ →^ A ↑^ |ς^ k^ →^ B Therefore:

  • Schmidt rank: r = 2 (two terms in the decomposition)
  • Schmidt coe”cients: s 1 = ↑^12 , s 2 = ↑^12
  • Schmidt bases:
    • For subsystem A: {|ϱ 1 → (^) A , |ϱ 2 → (^) A } = {| 0 → (^) A , | 1 → (^) A }
    • For subsystem B: {|ς 1 → (^) B , |ς 2 → (^) B } = {| 0 → (^) B , | 1 → (^) B } Verification: Check

k s^ (^2) k = 1: ( 1 ≃ 2

Part b) Answer: From the Schmidt decomposition, the reduced density matrices are:

εA = Tr (^) B (|ω→↓ω|) =

k

s (^2) k |ϱk →↓ϱ (^) k | (^) A =

| 0 →↓ 0 | A +

| 1 →↓ 1 | A (92)

ε (^) A =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A (93)

Similarly:

εB = Tr (^) A (|ω→↓ω|) =

k

s (^2) k |ς (^) k →↓ς (^) k | (^) B =

| 0 → ↓ 0 | B +

| 1 → ↓ 1 | B (94)

Verification that they are identical: Both have the form 12 I (maximal mixture), confirming that both reduced states are identical (up to subsystem labeling). Spectral decomposition: Both ε (^) A and ε (^) B already are in spectral form: For εA : ε (^) A =

| 0 → ↓ 0 | A +

| 1 → ↓ 1 | A (95)

with eigenvalues ϖ 1 = ϖ 2 = 12 and orthonormal eigenvectors {| 0 → (^) A , | 1 → (^) A }. Key observation: Both εA and ε (^) B have the same spectrum {s^2 k } = { 1 / 2 , 1 / 2 }, confirming a fundamental property of Schmidt decomposition. Part c) Answer: Calculate the von Neumann entropy of ε (^) A :

S(ε (^) A ) = ⇐

k

s (^2) k ln

s (^2) k

ln(1/2) ⇐

ln(1/2) = ln 2 ⇒ 0 .693 nats (96)

Interpretation: For a bipartite pure state, the entropy S(ε (^) A ) = ⇐

k s^ (^2) k ln s (^2) k is called the entropy

of entanglement. It quantifies how entangled the two subsystems are:

  • S(εA ) = 0 means no entanglement (unentangled/separable state, Schmidt rank =
    • S(εA ) = ln 2 means maximal entanglement for a two-qubit system (Schmidt rank = 2) Here, S(ε (^) A ) = ln 2 indicates this is a maximally entangled state. The Bell state shows maximal entanglement between the two qubits.