Depolarizing Channel
One-Sentence Description
Section titled “One-Sentence Description”The depolarizing channel is a noise model that replaces a qubit by an isotropically randomized state, equivalently shrinking its Bloch vector toward the origin.
Physical Setup
Section titled “Physical Setup”The model is used as a symmetric benchmark for one-qubit noise. It is not a microscopic relaxation model; it deliberately erases directional information by treating , , and Pauli errors symmetrically.
Channel Definition
Section titled “Channel Definition”In the Pauli-error-probability convention, the one-qubit depolarizing channel is
A Kraus representation is
The operators satisfy
Bloch-Vector Form
Section titled “Bloch-Vector Form”For
the Pauli-error convention gives
Another common convention writes
The two conventions agree when . If is interpreted literally as a replacement probability, then , which corresponds to in the Pauli-error convention.
What It Teaches
Section titled “What It Teaches”The depolarizing channel is the isotropic reference point for noisy qubit dynamics. It separates algebraic effects of complete positivity and trace preservation from device-specific mechanisms such as energy relaxation, dephasing, leakage, and coherent calibration errors.
Canonical Links
Section titled “Canonical Links”Common Mistakes
Section titled “Common Mistakes”- Comparing depolarizing rates without checking whether or is being used.
- Treating depolarizing noise as a realistic model of relaxation.
- Forgetting that the channel is unital: .
- Applying a one-qubit depolarizing formula to correlated multi-qubit noise without specifying the tensor-product or correlated channel.
Quick Check
Section titled “Quick Check”Show that the Pauli-error convention is trace preserving.
Solution
The Kraus operators obey . The Kraus trace-preserving condition therefore holds.
References
Section titled “References”- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2010.
- J. Preskill, Lecture Notes on Quantum Computation, California Institute of Technology.
- M. M. Wilde, Quantum Information Theory, 2nd ed., Cambridge University Press, 2017.