[
EDIT 2025-6-25: The original version of this post incorrectly included mixed-unitary and Renyi-entropy-increasing in the equivalent conditions.]
After years of not having an intuitive interpretation of the unital condition on CP maps, I recently learned a beautiful one: unitality means the dynamics never decreases the state’s mixedness, in the sense of the majorization partial order.
Consider the Lindblad dynamics generated by a set of Lindblad operators
, corresponding to the Lindbladian
(1) ![Rendered by QuickLaTeX.com \begin{align*} \mathcal{L}[\rho] = \sum_k\left(L_k\rho L_k^\dagger - \{L_k^\dagger L_k,\rho\}/2\right) \end{align*}](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-e9280b35f507d506d1b23395e3bf6625_l3.svg)
and the resulting quantum dynamical semigroup
. Let
denote the majorization partial order on density matrices:
exactly when
exactly when
for all
, where
and
are the respective eigenvalues in decreasing order. (In words:
means
is more mixed than
.) Then the following conditions are equivalent:None of this depends on the dynamics being Lindbladian. If you drop the first two conditions and drop the “
” subscript, so that
is just some arbitrary (potentially non-divisible) CP map, the remaining three conditions are all equivalent.a
-
![Rendered by QuickLaTeX.com \sum_k [L_k, L_k^\dagger]=0](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-798403b92024694f281ce4272f164ca7_l3.svg)
-
![Rendered by QuickLaTeX.com \mathcal{L}[I]=0](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-7ddd6fab263aec0dbc442a9a93624c96_l3.svg)
-
: “
is a unital map (for all
)” -
for all
: “
is mixedness non-decreasing” -
for all
,
, and concave functions 
The last condition implies that all Renyi entropies, including the Shannon entropy, are non-decreasing:
for all
,
, and
.
The non-trivial equivalences above are proved by Thm 8.8 in Sec. 8.3 of Wolf, “Quantum Channels and Operations Guided Tour“.See also “On the universal constraints for relaxation rates for quantum dynamical semigroup” by Chruscinski et al [2011.10159] for further interesting discussion.b
In many derivations of the Lindblad equation, the authors say something like “There is a gauge freedomA gauge freedom of the Lindblad equation means a transformation we can to both the Lindblad operators and (possibly) the system’s self-Hamiltonian, without changing the reduced dynamics.a in our choice of Lindblad (“jump”) operators that we can use to make those operators traceless for convenience”. However, the nature of this freedom and convenience is often obscure to non-experts.
While reading Hayden & Sorce’s nice recent paper [arXiv:2108.08316] motivating the choice of traceless Lindblad operators, I noticed for the first time that the trace-ful parts of Lindblad operators are just the contributions to Hamiltonian part of the reduced dynamics that arise at first order in the system-environment interaction. In contrast, the so-called “Lamb shift” Hamiltonian is second order.
Consider a system-environment decomposition
of Hilbert space with a global Hamiltonian
, where
,
, and
are the system’s self Hamiltonian, the environment’s self-Hamiltonian, and the interaction, respectively. Here, we have (without loss of generality) decomposed the interaction Hamiltonian into a tensor product of Hilbert-Schmidt-orthogonal sets of operators
and
, with
a real parameter that control the strength of the interaction.
This Hamiltonian decomposition is not unique in the sense that we can alwaysThere is also a similar freedom with the environment in the sense that we can send
and
.b send
and
, where
is any Hermitian operator acting only on the system. When reading popular derivations of the Lindblad equation
(1) ![Rendered by QuickLaTeX.com \begin{align*} \partial_t \rho_{\mathcal{S}} = -i[\tilde{H}_{\mathcal{S}}, \rho_{\mathcal{S}}] + \sum_i\left[L_i \rho_{\mathcal{S}} L_i^\dagger - (L_i^\dagger L_i \rho_{\mathcal{S}} + \rho_{\mathcal{S}} L_i^\dagger L_i)/2\right] \end{align*}](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-e99b76fc94962c15bc425d09c21aaa49_l3.svg)
like in the textbook by Breuer & Petruccione, one could be forgivenSpecifically, I have forgiven myself for doing this…c for thinking that this freedom is eliminated by the necessity of satisfying the assumption that
, which is crucially deployed in the “microscopic” derivation of the Lindblad equation operators
and
from the global dynamics generated by
.… [continue reading]
Summary
Physicists often define a Lindbladian superoperator as one whose action on an operator
can be written as
(1) ![Rendered by QuickLaTeX.com \begin{align*} \mathcal{L}[B] = -i [H,B] + \sum_i \left[ L_i B L_i^\dagger - \frac{1}{2}\left(L_i^\dagger L_i B + B L_i^\dagger L_i\right)\right], \end{align*}](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-46b9ae26a789271e5894116b15791809_l3.svg)
for some operator
with positive anti-Hermitian part,
, and some set of operators
. But how does one efficiently check if a given superoperator is Lindbladian? In this post I give an “elementary” proof of a less well-known characterization of Lindbladians:
Thus, we can efficiently check if an arbitrary superoperator
is Lindbladian by diagonalizing
and seeing if all the eigenvalues are positive.
A quick note on terminology
The terms superoperator, completely positive (CP), trace preserving (TP), and Lindbladian are defined below in Appendix A in case you aren’t already familiar with them.
Confusingly, the standard practice is to say a superoperator
is “positive” when it is positivity preserving:
. This condition is logically independent from the property of a superoperator being “positive” in the traditional sense of being a positive operator, i.e.,
for all operators (matrices)
, where
![Rendered by QuickLaTeX.com \[\langle B,C\rangle_{\mathrm{HS}} \equiv \mathrm{Tr}[B^\dagger C] = \sum_{n=1}^N \sum_{n'=1}^N B^\dagger_{nn'} C_{n'n}\]](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-596c3439c84c1d19303bd4563712eb43_l3.svg)
is the Hilbert-Schmidt inner product on the space of
matrices. We will refer frequently to this latter condition, so for clarity we call it op-positivity, and denote it with the traditional notation
.
Intro
It is reasonably well known by physicists that Lindbladian superoperators, Eq.… [continue reading]
The Master equation in Lindblad form (aka the Lindblad equation) is the most general possible evolution of an open quantum system that is Markovian and time-homogeneous. Markovian means that the way in which the density matrix evolves is determined completely by the current density matrix. This is the assumption that there are no memory effects, i.e. that the environment does not store information about earlier state of the system that can influence the system in the future.Here’s an example of a memory effect: An atom immersed in an electromagnetic field can be in one of two states, excited or ground. If it is in an excited state then, during a time interval, it has a certain probability of decaying to the ground state by emitting a photon. If it is in the ground state then it also has a chance of becoming excited by the ambient field. The situation where the atom is in a space of essentially infinite size would be Markovian, because the emitted photon (which embodies a record of the atom’s previous state of excitement) would travel away from the atom never to interact with it again. It might still become excited because of the ambient field, but its chance of doing so isn’t influenced by its previous state. But if the atom is in a container with reflecting walls, then the photon might be reflected back towards the atom, changing the probability that it becomes excited during a later period.a Time-homogeneous just means that the rule for stochastically evolving the system from one time to the next is the same for all times.
Given an arbitrary orthonormal basis
of the space of operators on the
-dimensional Hilbert space of the system (according to the Hilbert-Schmidt inner product
), the Lindblad equation takes the following form:
(1) ![Rendered by QuickLaTeX.com \begin{align*} \frac{\mathrm{d}}{\mathrm{d}t} \rho=- i[H,\rho]+\sum_{n,m = 1}^{N^2-1} h_{n,m}\left(L_n\rho L_m^\dagger-\frac{1}{2}\left(\rho L_m^\dagger L_n + L_m^\dagger L_n\rho\right)\right) , \end{align*}](https://blog.jessriedel.com/wp-content/ql-cache/quicklatex.com-6cb3261efe2af8d657e029e0cd14ea17_l3.svg)
with
.… [continue reading]