/think * Physical Meaning: The qubit is flipped with probability \(p\). (\(|0\rangle \leftrightarrow |1\rangle\))
* Error Model: \(\mathcal{E}_{BF}(\rho) = (1-p)\rho + p X \rho X\)
* Kraus Operators:
* \(K_0 = \sqrt{1-p} \cdot \mathbf{1}\) (No error)
* \(K_1 = \sqrt{p} \cdot X\) (X error occurs)
* (Verification: \(\sum K_k^\dagger K_k = (1-p)\mathbf{1} + p X^\dagger X = (1-p)\mathbf{1} + p\mathbf{1} = \mathbf{1}\))

2. Phase-Flip Channel

  • Physical Meaning: The qubit’s value does not change, but the relative phase between \(|0\rangle\) and \(|1\rangle\) is flipped by \(180^\circ\) (\(-1\) times) with probability \(p\). (\(|+\rangle \leftrightarrow |-\rangle\))
  • Error Model: \(\mathcal{E}_{PF}(\rho) = (1-p)\rho + p Z \rho Z\)
  • Kraus Operators:
    • \(K_0 = \sqrt{1-p} \cdot \mathbf{1}\) (No error)
    • \(K_1 = \sqrt{p} \cdot Z\) (Z error occurs)

3. Depolarizing Channel 💥

  • Physical Meaning: The most general “worst-case” noise model. The qubit completely forgets its original state and collapses into a perfectly random (maximally mixed) state \(\mathbf{1}/2\) with probability \(p\).
  • Error Model (Form 1): \(\mathcal{E}_{DP}(\rho) = (1-p)\rho + p \frac{\mathbf{1}}{2}\)
  • Error Model (Form 2, Pauli Basis): This model is mathematically equivalent to Pauli errors.
    \(\mathcal{E}_{DP}(\rho) = (1-p')\rho + \frac{p'}{3}(X\rho X + Y\rho Y + Z\rho Z)\)
    (where \(p' = \frac{3}{4}p\). \(p'\) is the total error probability)
  • Meaning: This equivalence shows that the phenomenon “the qubit’s information becomes completely random” is the same as the phenomenon “X, Y, Z errors occur randomly with equal probability.” This reaffirms that we only need to detect \(X, Y, Z\).

3. Simplified Examples (Examples with Deeper Insight)

Assume the initial state is \(|\psi\rangle = \alpha|0\rangle + \beta|1\rangle\) (where \(\alpha, \beta\) are real numbers).
The initial density matrix \(\rho = |\psi\rangle\langle\psi| = \begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix}\).

Example 1: Effect of Bit-Flip (X) Error

  • Situation: \(\rho\) passes through the \(\mathcal{E}_{BF}(\rho) = (1-p)\rho + p X \rho X\) channel.
    • Calculation: \(X \rho X = \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix} \begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix} \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix} = \begin{pmatrix} \alpha\beta & \beta^2 \\ \alpha^2 & \alpha\beta \end{pmatrix} \begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix} = \begin{pmatrix} \beta^2 & \alpha\beta \\ \alpha\beta & \alpha^2 \end{pmatrix}\)

    • Final State: \(\rho' = (1-p)\begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix} + p\begin{pmatrix} \beta^2 & \alpha\beta \\ \alpha\beta & \alpha^2 \end{pmatrix}\) \(\rho' = \begin{pmatrix} (1-p)\alpha^2 + p\beta^2 & \alpha\beta \\ \alpha\beta & (1-p)\beta^2 + p\alpha^2 \end{pmatrix}\)

    • 💡 Detailed Explanation (What was destroyed?):

      • Diagonal components (probabilities): \(\rho'_{00} = (1-p)\alpha^2 + p\beta^2\). The original probability of being in \(|0\rangle\) (\(\alpha^2\)) and the probability of being in \(|1\rangle\) (\(\beta^2\)) are mixed in the ratio of \(p\). This is exactly the same as a classical bit flip.
      • Off-diagonal components (coherence): \(\rho'_{01} = (1-p)\alpha\beta + p(\alpha\beta) = \alpha\beta\). Surprisingly, coherence is not at all damaged!
      • Conclusion: A bit flip error does not damage the ‘phase relationship’ of superposition, but only damages the ‘probability of being in a certain state’.

Example 2: Effect of Phase Flip (Z) Error

  • Situation: \(\rho\) passes through the \(\mathcal{E}_{PF}(\rho) = (1-p)\rho + p Z \rho Z\) channel.
    • Calculation: \(Z \rho Z = \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} \begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} \alpha^2 & -\alpha\beta \\ \alpha\beta & -\beta^2 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} \alpha^2 & \alpha\beta \\ -\alpha\beta & \beta^2 \end{pmatrix}\) (calculation error!) \(Z \rho Z = \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} \begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} \alpha^2 & \alpha\beta \\ -\alpha\beta & -\beta^2 \end{pmatrix} \begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} \alpha^2 & -\alpha\beta \\ -\alpha\beta & \beta^2 \end{pmatrix}\)

    • Final State: \(\rho' = (1-p)\begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix} + p\begin{pmatrix} \alpha^2 & -\alpha\beta \\ -\alpha\beta & \beta^2 \end{pmatrix}\) \(\rho' = \begin{pmatrix} \alpha^2 & (1-2p)\alpha\beta \\ (1-2p)\alpha\beta & \beta^2 \end{pmatrix}\)

    • 💡 Detailed Explanation (What was destroyed?):

      • Diagonal components (probabilities): \(\rho'_{00} = (1-p)\alpha^2 + p\alpha^2 = \alpha^2\). Probabilities are completely undamaged! (The probability of being \(|0\rangle\) is still \(\alpha^2\))
      • Off-diagonal components (coherence): \(\rho'_{01} = (1-2p)\alpha\beta\). The coherence term has been damped by a factor of \((1-2p)\). At \(p=1/2\) (maximum error), coherence becomes zero.
      • Conclusion: Phase flip errors do not damage classical probabilities, but only attack the “quantumness” (coherence) of superposition states. This is the simplest model of decoherence described in Chapter 8 of “Quantum Mechanics” in the context of quantum Darwinism.

Example 3: Justification of Discretization (Continuous vs Discrete)

  • Situation: Real-world errors are continuous, similar to the Amplitude Damping channel in Chapter 5 of “Quantum History” (e.g., \(|1\rangle \to \sqrt{1-\gamma}|1\rangle + \sqrt{\gamma}|0\rangle\))
    • Problem: How can we approximate this as a discrete \(X\) error?
    • Interpretation:
      • Assume \(\gamma\) is very small (for a short time \(\delta t\)), \(\gamma \approx p\).
      • \(\sqrt{1-p} \approx 1 - p/2\).
      • Approximating this continuous process \(\mathcal{E}_{AD}\) to first order,
      • \(\mathcal{E}_{AD}(\rho) \approx (1-p_Z) \rho + p_Z Z\rho Z + p_X X\rho X\)
      • That is, the complex continuous process of “energy slowly leaking out” can be very well approximated by a probabilistic mixture of discrete events: “nothing happens” (with probability \(1-p\)), “a bit flip happens” (with probability \(p_X\)), or “a phase flip happens” (with probability \(p_Z\)).
      • Conclusion: If we create codes that can catch the discretized \(X\) and \(Z\) errors in Chapter 7, we can approximately deal with the complex continuous errors in reality.

4. Exercise Problems

  1. Effect of Y Errors: As in Examples 1 and 2, calculate the effect of the channel \(\mathcal{E}_{Y}(\rho) = (1-p)\rho + p Y \rho Y\) on \(\rho = \begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix}\). (Hint: Calculate \(Y \rho Y\))
  2. Z Errors and X Basis: Calculate the final density matrix \(\rho'\) when the state \(|\psi\rangle = |+\rangle = \frac{1}{\sqrt{2}}(|0\rangle + |1\rangle)\) passes through a phase flip (\(Z\)) channel. How does the measurement probability in the \(X\) basis of \(\rho'\) change?
  3. X Errors and Z Basis: Calculate the final density matrix \(\rho'\) when the state \(|\psi\rangle = |0\rangle\) passes through a bit flip (\(X\)) channel. How does the measurement probability in the \(Z\) basis (\(|0\rangle, |1\rangle\)) of \(\rho'\) change?
  4. Equivalence of Depolarizing Channel: Prove that \(\mathcal{E}(\rho) = (1-p)\rho + p \frac{\mathbf{1}}{2}\) (Form 1) is equivalent to \(\mathcal{E}(\rho) = (1-\frac{3p}{4})\rho + \frac{p}{4}(X\rho X + Y\rho Y + Z\rho Z)\) (Form 2, \(p'=3p/4\)). (Hint: \(\mathbf{1}/2 = \frac{1}{2}\rho + \frac{1}{2}(X\rho X + Y\rho Y + Z\rho Z)\) does not hold for all \(\rho\), but when \(\rho=\mathbf{1}/2\)… no, write \(\rho = \frac{1}{2}(\mathbf{1} + \vec{r}\cdot\vec{\sigma})\) and calculate)

5. Explanation

  1. \(Y \rho Y = \begin{pmatrix} 0 & -i \\ i & 0 \end{pmatrix} \begin{pmatrix} \alpha^2 & \alpha\beta \\ \alpha\beta & \beta^2 \end{pmatrix} \begin{pmatrix} 0 & i \\ -i & 0 \end{pmatrix} = \dots = \begin{pmatrix} \beta^2 & -\alpha\beta \\ -\alpha\beta & \alpha^2 \end{pmatrix}\). \(\rho' = \begin{pmatrix} (1-p)\alpha^2 + p\beta^2 & (1-2p)\alpha\beta \\ (1-2p)\alpha\beta & (1-p)\beta^2 + p\alpha^2 \end{pmatrix}\). Conclusion: \(Y\) error has the effects of both bit flip (\(X\)) and phase flip (\(Z\)). (Both diagonal/non-diagonal terms change)
  2. \(|\psi\rangle = |+\rangle \implies \rho = \frac{1}{2}\begin{pmatrix} 1 & 1 \\ 1 & 1 \end{pmatrix}\). ( \(\alpha=\beta=1/\sqrt{2}\) ) Substituting the result of Example 2’s \(\rho'\), \(\rho' = \begin{pmatrix} 1/2 & (1-2p)/2 \\ (1-2p)/2 & 1/2 \end{pmatrix}\). When measured in the \(X\) basis, \(P(+) = \langle +|\rho'|+\rangle = \frac{1}{2}\begin{pmatrix} 1 & 1 \end{pmatrix} \rho' \begin{pmatrix} 1 \\ 1 \end{pmatrix} = \dots = 1-p\). \(P(-) = \langle -|\rho'|-\rangle = p\). Conclusion: Phase flip error creates the \(|-\rangle\) state from the \(|+\rangle\) state with probability \(p\). That is, \(Z\) error appears like a bit flip in the \(X\) basis.
  3. \(|\psi\rangle = |0\rangle \implies \rho = \begin{pmatrix} 1 & 0 \\ 0 & 0 \end{pmatrix}\). ( \(\alpha=1, \beta=0\) ) Substituting the result of Example 1’s \(\rho'\), \(\rho' = \begin{pmatrix} (1-p) & 0 \\ 0 & p \end{pmatrix}\). When measured in the \(Z\) basis, \(P(0) = \rho'_{00} = 1-p\), \(P(1) = \rho'_{11} = p\). Conclusion: Bit-flip error creates the \(|1\rangle\) state from the \(|0\rangle\) state with probability \(p\). (Obvious result)
  4. \(\rho = \frac{1}{2}(\mathbf{1} + \vec{r}\cdot\vec{\sigma})\). \(\mathcal{E}_{DP}(\rho) = (1-p)\rho + p\frac{\mathbf{1}}{2} = \frac{1}{2}(\mathbf{1} + (1-p)\vec{r}\cdot\vec{\sigma})\). (Bloch sphere is contracted towards the origin by \(1-p\)) Substituting expressions such as \(X\rho X = \frac{1}{2}(\mathbf{1} + r_x\sigma_x - r_y\sigma_y - r_z\sigma_z)\) into Form 2 and simplifying, \(\mathcal{E}(\rho) = \dots = \frac{1}{2}(\mathbf{1} + (1-p')\vec{r}\cdot\vec{\sigma} - \frac{p'}{3}(r_y+r_z+r_x+r_z+r_x+r_y)\vec{\sigma}) \dots\) Instead of \(p'=3p/4\), modeling as \(p' = p/3\) (for each of \(X\), \(Y\), \(Z\)) gives \(\mathcal{E}(\rho) = (1-p)\rho + \frac{p}{3}(X\rho X + \dots) = \frac{1}{2}(\mathbf{1} + (1 - \frac{4p}{3})\vec{r}\cdot\vec{\sigma})\). Forms 1 and 2 have the same effect of contracting the Bloch vector towards the origin with \(p' = 4p/3\) relation: \(p \to (1-p')\vec{r}\).