Common Channels
This page is a compact lookup table for common quantum channels. It identifies the standard action, typical use, and main caveat for each model. The detailed explanations live in Common Noise Channels, Pauli Channels, Dephasing Channel, Depolarizing Channel, Amplitude-Damping Channel, Erasure and Loss Channels, Gaussian Channels, and Channel Composition and Fixed Points.
Unless stated otherwise, is a completely positive trace-preserving map and is the input density operator. A Kraus representation
is a representation of the channel, not a unique physical story. To attach meaning to individual Kraus operators, specify the environment basis, detector record, or implementation.
One-Line Selection Guide
Section titled “One-Line Selection Guide”| If the dominant effect is… | Start with… | Do not forget… |
|---|---|---|
| phase coherence decays in one basis | dephasing or phase damping | the basis is part of the model |
| errors are stochastic Pauli conjugations | Pauli channel | unitality and independence assumptions |
| all qubit axes are benchmark-randomized equally | depolarizing | this is usually phenomenological |
| excitation relaxes downward | amplitude damping | the channel is not unital |
| upward and downward thermal transitions both occur | generalized amplitude damping | detailed balance fixes the stationary state |
| a loss event is heralded | erasure | the output includes an orthogonal flag |
| photons or bosonic excitations leak away unheralded | loss or attenuation | number and amplitude statistics change |
| a harmonic mode damps toward a thermal state | thermal oscillator damping | the bath occupation sets the noise floor |
| quadrature covariance is attenuated | Gaussian attenuation | vacuum or thermal noise enters |
| phase-insensitive gain is added | Gaussian amplification | added noise is required by complete positivity |
Finite-Dimensional Channels
Section titled “Finite-Dimensional Channels”Dephasing
Section titled “Dephasing”Dephasing suppresses off-diagonal density-matrix elements in a preferred basis while leaving populations fixed. For a qubit in the basis, a common phase-flip form is
In matrix elements,
Use for unread which-path information, slow phase noise, nonselective measurement in a basis, or pure dephasing limits. Main caveat: dephasing is always basis-dependent. See Dephasing Channel.
A one-qubit Pauli channel applies conjugations with probabilities :
Use for stochastic Pauli error models, stabilizer simulations, and twirled noise. Main caveat: Pauli channels are unital; they do not model amplitude damping, leakage, or coherent over-rotations without an additional approximation. See Pauli Channels.
Depolarizing
Section titled “Depolarizing”The depolarizing channel shrinks a state toward the maximally mixed state. In the replacement-probability convention for dimension ,
For a qubit Bloch vector ,
Use for symmetric benchmark noise, randomized error models, and compact estimates. Main caveat: real relaxation, leakage, coherent drift, and crosstalk are usually not isotropic. See Depolarizing Channel.
Amplitude Damping
Section titled “Amplitude Damping”Amplitude damping models zero-temperature relaxation from an excited state to a lower state. For a qubit with excited,
Thus
Use for spontaneous emission, relaxation, and zero-temperature decay. Main caveat: it is trace preserving but not unital; it drives toward the ground state. See Amplitude-Damping Channel.
Generalized Amplitude Damping
Section titled “Generalized Amplitude Damping”Generalized amplitude damping is the finite-temperature version of amplitude damping. It has both downward and upward transition processes and relaxes to a mixed stationary state. A transparent continuous-time parametrization is
where
The equilibrium excited population is
Use when a qubit exchanges energy with a finite-temperature bath. Main caveat: the rates must encode the bath temperature or nonequilibrium reservoir; otherwise the claimed thermal fixed point is only a fit parameter. See Thermal Master Equations and Detailed Balance.
Erasure
Section titled “Erasure”An erasure channel replaces the input by an orthogonal flag state with known probability. In its simplest form,
where lies outside the original input space.
Use for heralded loss, located erasures in error correction, and communication models where the receiver knows that transmission failed. Main caveat: erasure is not the same as unheralded amplitude damping or bosonic attenuation; the flag is part of the output. See Erasure and Loss Channels.
Phase Damping
Section titled “Phase Damping”Phase damping is often used as a synonym for dephasing, especially when the microscopic story is random phase accumulation rather than Pauli phase flips. For a basis , a schematic form is
Use when populations in the chosen basis are preserved but coherences decay. Main caveat: the coefficients must define a completely positive map; arbitrary damping factors need not be physical.
Loss and Bosonic Channels
Section titled “Loss and Bosonic Channels”Loss means degrees of freedom leave the retained Hilbert space or mode. In finite-dimensional qubit language, loss might mean leakage to a state outside the computational subspace. In bosonic language, it usually means attenuation into an inaccessible environment.
For a single bosonic mode, the pure-loss channel with transmissivity has the Heisenberg input–output relation
with the environment mode usually taken to be vacuum for quantum-limited loss.
Use for photon loss, imperfect transmission, detector inefficiency, and cavity leakage. Main caveat: unheralded loss is not an erasure channel unless a reliable flag is produced. See Erasure and Loss Channels.
Thermal Oscillator Damping
Section titled “Thermal Oscillator Damping”Thermal oscillator damping is the finite-temperature damping channel for a harmonic mode. The Markovian master-equation form is
where is the bath occupation at the oscillator frequency.
Use for damped cavities, vibrational modes, microwave resonators, and harmonic approximations coupled to thermal reservoirs. Main caveat: the model assumes a stable bath occupation and weak enough coupling for a Markovian description. For structured reservoirs or strong coupling, the finite-time map may not have this simple form.
Gaussian Attenuation
Section titled “Gaussian Attenuation”Gaussian attenuation is the continuous-variable channel that reduces displacement and adds the noise required by coupling to an environment mode. For quadrature displacement vector and covariance matrix ,
For quantum-limited attenuation, in the common convention. For thermal attenuation, is the covariance of the thermal environment.
Use for optical fiber attenuation, beam-splitter loss, inefficient detection, and noisy Gaussian transmission. Main caveat: covariance conventions differ; always state the quadrature normalization and whether the environment is vacuum or thermal. See Gaussian Channels for the full covariance-matrix convention.
Gaussian Amplification
Section titled “Gaussian Amplification”Gaussian amplification is phase-insensitive gain for a bosonic mode. For gain ,
Quantum mechanics requires added noise. In the quantum-limited phase-insensitive amplifier, in the same covariance convention.
Use for idealized linear amplifiers, microwave readout chains, and communication models with gain. Main caveat: noiseless deterministic phase-insensitive amplification is not a physical channel; complete positivity enforces the added-noise term. See Gaussian Channels for the complete-positivity inequality.
Parameter Translations
Section titled “Parameter Translations”The same physical model appears with different parameters in different communities:
| Model | Common parameter | Continuous-time relation |
|---|---|---|
| pure dephasing | coherence factor | in a Markovian convention |
| phase-flip dephasing | flip probability | for real positive decay |
| amplitude damping | decay probability | |
| depolarizing | replacement probability | often , convention dependent |
| bosonic attenuation | transmissivity | |
| Gaussian amplification | gain | for an idealized amplifier rate |
These translations are only bookkeeping. They do not prove that the model is microscopically correct.
Choosing a Channel Responsibly
Section titled “Choosing a Channel Responsibly”Before using a channel in a derivation, simulation, or fit, record:
- the system Hilbert space and whether leakage states are included,
- the basis in which dephasing or phase damping acts,
- whether loss is heralded, unheralded, or postselected away,
- whether the channel is a one-step phenomenological map or the finite-time map of a master equation,
- whether the environment is vacuum, thermal, squeezed, structured, or merely unspecified,
- whether the parameters are probabilities, rates, coherence factors, transmissivities, or gains.
For computational checks, see Simulating Quantum Channels. For assumptions behind master-equation limits, see the Approximation Checklist.
Self-Checks
Section titled “Self-Checks”- A qubit loses phase coherence in the energy basis, but its measured energy populations do not change. Which channel family is the natural first model?
Solution
Use dephasing or phase damping in the energy basis. The unchanged populations rule out ordinary amplitude damping as the leading effect.
- A photon is lost in transmission, but the receiver is not told whether loss occurred. Is this automatically an erasure channel?
Solution
No. Erasure requires a known orthogonal flag. Unheralded photon loss is better modeled as bosonic attenuation or as a loss channel appropriate to the retained Hilbert space.
- A proposed phase-insensitive amplifier maps with no added noise for . What is wrong?
Solution
It is not a physical deterministic quantum channel. Complete positivity requires added noise; for a quantum-limited amplifier the covariance has an additional term proportional to .
References
Section titled “References”- M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information, Cambridge University Press, 2010.
- H.-P. Breuer and F. Petruccione, The Theory of Open Quantum Systems, Oxford University Press, 2002.
- J. Watrous, The Theory of Quantum Information, Cambridge University Press, 2018.
- A. S. Holevo, Quantum Systems, Channels, Information, De Gruyter, 2012.
- C. Weedbrook, S. Pirandola, R. Garcia-Patron, N. J. Cerf, T. C. Ralph, J. H. Shapiro, and S. Lloyd, “Gaussian quantum information,” Reviews of Modern Physics 84, 621, 2012.
- A. Serafini, Quantum Continuous Variables: A Primer of Theoretical Methods, CRC Press, 2017.
- M. M. Wilde, Quantum Information Theory, Cambridge University Press, 2017.