1. Introduction
Studies in quantum physics have traditionally focused on systems isolated from their environment. However, with the recent developments in quantum computing [
1] and quantum thermodynamics [
2], the dynamics of open quantum systems have attracted growing interest. This line of research is also deeply connected to the measurement problem [
3], an unresolved issue since the dawn of quantum mechanics, making it critical from both fundamental and applied perspectives [
4,
5,
6].
The dynamics of such open quantum systems are to be derived from the microscopic unitary evolution of the total system (system plus environment), but this is generally quite complicated to perform. An axiomatic approach, therefore, becomes effective. Specifically, the dynamics of the system of interest are assumed linear and Markovian. Under these assumptions, if one imposes the requirement that the time evolution must preserve physical states, that is, a complete positiveness and trace-preservation (CPTP) map, it is known that the quantum master equation is the Gorini–Kossakowski–Sudarshan–Lindblad (GKSL) equation [
2,
7,
8,
9]. This equation unifies the treatment of the unitary evolution governed by the Hamiltonian of the system and the non-unitary dissipative processes described by GLKS jump operators, which represent the interaction with the environment. In particular, when applied to a single qubit (a two-level system), the fundamental unit of quantum information, its time evolution can be straightforwardly understood through a geometric picture using the Bloch vector [
10]. In the representation based on Cartesian coordinates, this GKSL equation reduces to a tractable system of linear equations, and its solutions and properties have already been studied (see, for instance, Chapter 9 in Ref. [
11]). In this paper, first, we revisit this system to analyze specific anisotropic cases, thereby clarifying how the interplay between Hamiltonian evolution and environmental dissipation gives rise to phenomena such as damped oscillations and the emergence of non-random, asymptotically stable fixed points within the mixed-state space.
This investigation highlights an essential feature for the design of robust qubits: by engineering the qubit–environment interaction, one can protect selected quantum states [
12,
13,
14,
15]. Furthermore, we explicitly identify the critical transition between oscillatory and monotonic decay regimes as an “exceptional point” in the spectrum of the Liouvillian superoperator. This result establishes a direct link between the geometric coalescence of state trajectories within the Bloch ball and the spectral degeneracies that characterize non-Hermitian quantum mechanics.
Further, in this paper, we develop an alternative descriptive framework for the same physical system by reformulating the dynamics in spherical coordinates, a representation that provides additional geometric clarity and facilitates the interpretation of anisotropic dissipation, fixed-point structure, and trajectory behavior within the Bloch ball. This coordinate transformation renders the equations of motion nonlinear, but it brings advantages that more than compensate for this complexity. First, it reveals a straightforward variable separation structure. Specifically, the radial variable, which is related to the change in the system’s purity (and, thus, the informational entropy due to interaction with the environment), is naturally decoupled from the angular variables, which describe the orientation of the quantum state. This structure of variable separation is expected to hold universally, not only for two-level systems but also for general
N-level systems. This provides an insightful theoretical framework for uniformly treating the dynamics of more complex quantum systems. Hence, we believe that our approach gives a new perspective on the geometric interpretation of the quantum information space. In addition, the unified geometric presentation presented here provides a pedagogically valuable perspective and is a practical tool for generalizations, as soon as it combines linear and nonlinear perspectives, revealing complementary physical insights. Our approach goes beyond standard linear solutions by deriving explicit nonlinear equations of motion for the qubit’s orientation, which we identify as having a Ricatti-like structure [
6]. Additionally, we obtain analytical trajectory invariants depicted as constants of motion for the dissipative path. To the best of our knowledge, such closed-form geometric constraints for anisotropic GKSL evolution have not been reported in the standard literature. The trajectory invariants provide a rigorous geometric description of the state’s spiral toward the fixed point. This is followed by a discussion over the possible fixed points, which lie on the axes of the Bloch sphere representation.
The organization of the paper is as follows. In
Section 2, we introduce the GKSL equation in the qubit case and proceed with its standard linear analysis in Cartesian coordinates. We then study the isotropic case and particular anisotropic situations. The examples are illustrated by showing trajectories in the Bloch ball. In
Section 3, we proceed with an SU(2) approach to the GLKS system which leads to the nonlinear dynamical system in spherical coordinates, of which the radial part shows the dissipative regime in a straightforward way. In
Section 4, we perform a detailed study on the existence of fixed points and explore how they can be exploited to control the evolution of a qubit. In
Section 5, we give insights about possible generalizations. Some details of computations made are given in
Appendix A and
Appendix B.
2. GKSL Equation
In this Section, we review the standard formulation of the GKSL equation for a single qubit. We employ the Bloch vector representation, which maps the density matrix to a vector in
, and derive the linear system of differential equations that govern its dynamics. The starting point is the GKSL equation in the Schrödinger picture for a time deivative of a density matrix (i.e., quantum state)
, with the standard sign convention is:
where the symbol † denotes the Hermitian conjugate,
H denotes the Hamiltonian, the
’s along with the identity form an arbitrary basis of matrix operators, the coefficients
are non-negative constants with
, and the reduced Planck constant is set to
. We also distinguish between the unitary Hamiltonian regime (
) and the dissipative regime (
) in the action of the Lindblad operator
. In the present two-dimensional case, a natural basis is the set compounded of the identity
, the three Hermitian Pauli matrices
, and the three anti-Hermitian matrices
. This shows that only the subset
is necessary.
Let us write the density (i.e., non-negative Hermitian unit trace) operator as
where
is the standard Bloch vector represented by a column matrix
, with the superscript “T” denoting the matrix transpose. Let us write the Hamiltonian in Pauli’s matrices basis (considering the
as the Pauli matrices):
where
are constants.
Then GKSL Equation (
1) results in the set of three equations (see
Appendix B):
where the dot on top denotes the time derivative.
Thus, it can be rewritten in the following vector form characterizing a dynamical system:
, while “ד depicts the cross product. The matrix
contains the decay rates
,
, and
. Additionally, we write the cross product
as the product between the skew-symmetric matrix
and vector
. One observes that the time derivative of the Bloch vector is equivalent to the matrix multiplication
where
2.1. Solutions to the System of Ode: Isotropic Case
In the case of time-independent dissipative factors
, Equation (
8) can be solved by the known ansatz
, where
is a constant vector. Then, Equation (
8) reads
where
is a constant. The exponentials cancel out, leaving us with an eigenvalue problem. To simplify the formulation, we consider the isotropic case
, which gives the following results for the eigenvalue problem:
Then, we find the solution:
where the coefficients
,
, and
are to be determined by an initial condition
.
2.2. Physical Illustrative Example
In this Section, we consider a spin-
particle interacting with a magnetic field
, where
is a constant. So, the Hamiltonian is
, which gives
. Setting initial condition
, the solution is
and the trajectories are visualized in
Figure 1. The second example is related to the initial condition
, which yields the following solution:
The time evolution of the state vector (
16), as depicted by its trajectory on the Bloch sphere in
Figure 1, reveals a precessional motion coupled with an inward spiral. This behavior is similar to a damped rotating system. Consequently, this representative case serves as an example for illustrating the interplay between unitary evolution, which manifests as rotation driven by the Hamiltonian (
3) and non-unitary, dissipative evolution, which is responsible for the observed damping effect, as shown in
Figure 2.
2.3. Anisotropic Case
Setting
, and
and the Hamiltonian
gives the following matrix
(
9)
It is convenient to introduce the parameter and its pseudo-Lorentz companion .
The eigenvectors and eigenvalues of
(
17) then reads
Supposing an initial condition
, one finds the solution
For different values of
, the system enters different dissipative regimes, such as oscillatory regime
, damped regime
, and critical regime
. These differences are visualized in
Figure 3.
The subcritical damping is achieved by choosing
, where the qubit behaves as an oscillatory system with damping. By introducing the Lorentzian companion
, Equation (22) reads
and it is possible to determine the period of the oscillation
.
The supercritical regime is found for the values
. In this case, solution of
(
22) relies on the hyperbolic trigonometric function, which can be rewritten as exponentials. Thus, for sufficiently long times, one may factor out the dominant contribution
, which naturally leads to the definition of a characteristic decay time
For
, the system behave as
; see
Appendix A for details.
The last regime appears at the critical point
, i.e.,
, which has the solution
This system exhibits a behavior quite similar to that of a classical damped harmonic oscillator, in which the most rapid decay occurs in the critically damped regime. This feature is well visible in
Figure 4 (and for each Bloch component in
Figure 5). The analogy stems from the competition between the unitary Hamiltonian dynamics and the dissipative influence of the environment: the former induces rotations generated by the interaction along the
z-axis through the action of
, whereas the latter produces damping along the
x-axis via the action of
. For completeness,
Figure 5 displays the time evolution of the individual Bloch components for the anisotropic cases, thereby illustrating the different decay regimes.
2.4. One Direction
Here, we explore the behavior of the system when both the Hamiltonian and decay rate are related to
. Then
,
, while
, and
Therefore, the action of matrix
(
26) over the Bloch vector
only affects the
and
directions, leaving the
unchanged. Along these lines, a state that is initially
does not change over time, which can be represented as a fixed point of the GKSL equation.
On the other hand, a state that has
or
components rotates and decays; for example, the state
evolves according to
and is visualized in
Figure 6, while the
component remains constant.
This example shows that a state with components only along the
direction is a fixed point of the evolution, and it can be seen in the solution before setting the initial condition
and setting
More generally, each point in the
z-axis acts as an attractor for the dynamics in the
-plane. In other words, any initial state decoheres in the
-plane while preserving its
z-component, eventually converging to a final state on the
z-axis. This line of fixed points represents the set of stable equilibrium states for the qubit under this specific Hamiltonian and dissipative channel. This phenomenon illustrates a strategy for enhancing qubit stability by engineering a dominant environmental interaction to create a (almost) decoherence-free subspace; the computational basis states (i.e,
and
as eigenstates of
, with the arrows ponting the spin direction (up or down)) become robust states that act like a pointer state.
2.5. Exceptional Points: Discussion
In a broader context, the exceptional points (EPs) [
16,
17] are non-Hermitian degeneracies at which both eigenvalues and their corresponding eigenvectors coalesce, leading to a breakdown of the conventional Hermitian spectral theory. In quantum systems, EPs emerge when dissipation or gain introduces non-conservativity, rendering the effective Hamiltonian non-Hermitian. This results in a characteristic spectral topology, where eigenvalues exhibit square-root branch point behavior. For a single qubit subject to engineered loss, such as in superconducting circuits or optical platforms, the Hamiltonian can be tailored to realize an EP by balancing coherent coupling and decay rates. In this regime, the qubit exhibits a non-trivial evolution marked by spontaneous symmetry breaking, mode non-orthogonality, and enhanced sensitivity to perturbations. Importantly, recent experimental realizations have demonstrated quantum state tomography across EPs [
18], revealing distinctive features such as the coalescence of decay rates at the EP, the transition between underdamped and overdamped dynamics, and signatures of parity-time
-symmetry breaking in the relaxation pathways of the qubit.
In the anisotropic single-qubit model presented in this Section, the effective Bloch evolution is generated by the non-Hermitian matrix
(
17). The eigenvalues of
determine three dynamical regimes (subcritical, critical, and supercritical), analogous to a damped harmonic oscillator. At the critical point (
), two eigenvalues and eigenvectors coalesce, indicating a Liouvillian exceptional point. In other words, a non-Hermitian degeneracy occurs in the Liouvillian superoperator of the open quantum system. The dynamics near this point are qualitatively distinct, with the fastest decay consistent with known non-Hermitian degeneracies.
3. SU Symmetry Content of GLKS Dynamics
In this Section, an approach to the GLKS system based on the underlying SU symmetry and related tools are adopted. Although we (artificially) leave linearity out of the system, we unveil an instructive separation between the angular regime, which involves the whole Lindblad operator and the radial regime rule, which is explicitly ruled by only. More precisely, the SU symmetry approach, specifically, the left coset symmetry, decouples the dynamics of the system. This approach provides a link between the change in the state’s purity, the decay rates, and the evolution of its orientation and on the Bloch sphere as a nonlinear dynamical system.
3.1. SU Content of Density Matrix
An arbitrary density operator in
has the following spectral decomposition:
where
has a classical probability sense and
is an orthogonal projector (pure states) on eigendirections
,
. No degeneracy and
(generic situation) are supposed here. By introducing the element of
, which diagonalizes
, the latter can be written as
with
and
is the normalized excess of
above the uniform baseline. The matrix
in Equation (
30) is a traceless involution (involution means its square is the identity) in SU
:
We check that
is a representation of the half-circle,
This property is consistent with the feature that
is an element of the left coset
, since any right U(1) factor
of
in Equation (
30) is transparent, due to the feature it commutes with
. Its column vectors
which form an orthonormal basis for
, are precisely the normalized eigenvectors of
, consistent with the notation in Equation (
29). Moreover, they can be viewed as spin one-half coherent states
, defined in terms of spherical coordinates
as the quantum counterpart of the classical state
in the (Bloch) sphere
by
Here,
corresponds, through the homomorphism SO
↦ SU(2), to the specific rotation
in the Bloch sphere, which maps the unit vector pointing to the north pole,
, to
. The operator
represents the element
of SU(2) in its complex two-dimensional unitary irreducible representation. Thus, the spectral decomposition (
29) of
is expressed in terms of the two orthogonal spin coherent states:
We reiterate here some fundamental properties of these coherent states:
Note the extreme cases
(pure state equivalent to spin coherent state) and
(totally random state):
3.2. GLKS System in Terms of Parameters
3.2.1. Radial Dissipation
Let us now formulate the GLKS system (
1) in functions of the Bloch ball parameters
. First, by using the expression (
30), one obtains for the time derivative of
Now, from Equation (
32) and the identities
, one finds
Thus, the Lindblad equation takes the form
Using
, one finds
Taking the trace (Tr) of Equation (
42) and using
for all
, one finds the following equation:
Let us note that there is no explicit dependence of the Hamiltonian. The action of the latter is implicit only through the time dependence of the angles
and
. Since the decay rates
are non-negative, the entire expression on the right-hand side is always less than or equal to zero. Henceforth, Equation (
43) is a fundamental result that directly connects the change in the state’s purity to the decay rates. The parameter
r is a measure of the state’s purity, where
is a pure state and
is a maximally mixed state. This proves that
, meaning the purity of the state can only decrease or remain constant over time. The finding that
confirms the principle of dissipation, as the system loses coherence to its environment. This interpretation is confirmed with the increase in the von Neumann entropy:
3.2.2. Angular Dynamical System
Let us now decouple the angular variables’ motions from the radial one, starting from Equation (
42) and using Equation (
43). By introducing the two traceless matrix expressions one finds
and then obtains the matrix dynamical system for angular variables
:
We now make explicit
and
in terms of
and
from the matrix (
31). Here,
X is the anti-Hermitian “logarithm” of
U:
where we introduce the Hermitian involution
Hence, one finds the following for Equation (
49):
where the traceless involution matrix
and the traceless anti-involution Hermitian matrix
are introduced.
Note the relations preserving the traceless property:
and also note that the traceless features on both sides of Equation (
51) are respected.
Let us now calculate the commutator
on the left-hand side of Equation (
49). From the relations
one obtains
and
The set of properties (
57) and (
58) allow obtaining separate equations for the angular variables. Starting from Equation (
47), we write
and then multiplying each term of Equation (
59) by
and tracing the result yield
where the
are the matrix elements of
H,
, where
is the conjugate of
. After simplification, for
,
Similarly, multiplying Equation (
51) by
, tracing the result, and dividing by two yield
The Ricatti-like Equations (
61) and (
62) can be interpreted as the equations of motion for the orientation of the Bloch vector on the sphere. They demonstrate how both the Hamiltonian and the decay rates contribute to the rotation and evolution of the quantum state’s direction. The Hamiltonian terms
drive the coherent precession, while the decay rates
induce a drift or move toward a new non-rotational final position. The final state of the system is a balance between these two competing effects.
3.2.3. The Full Dynamical System
Combining the evolution equations for angular (
61)–(
62) and radial (
43) variables one finally obtains the system
As a natural example, for the particular cases where
H is diagonal and time-independent,
with
, one obtains the solution
to Equations (
63)–(65), respectively.
Note the invariant trajectories which are derived from Equations (67) and (68):
Equation (
69) is a geometric constraints equation that defines the exact shape of the spiral inside the Bloch ball. Solution (
27) corresponds to the particular choices
,
,
,
,
,
, and
.
4. Fixed Points: Discussion
The asymptotic behavior of an open quantum system is characterized by its set of stationary or fixed points. As already presented in
Section 2.4, the
z-axis of the Bloch ball represents a set of fixed points. This corresponds to
,
, and
(in Equation (
3)) or
(in Equation (64)). The other two axes (
x and
y) of the Bloch ball are also sets of fixed points, and this case corresponds to the values of parameters
for the
x-axis (
,
) and
for the
y-axis (
,
). This can be verified by substituting those values into Equations (
63)–(65).
The fixed points of the system, denoted by
, are identified by solving the steady-state condition
for the governing dynamics in Equation (
5). Once the fixed points are determined, their stability is ascertained through linear stability analysis. This procedure involves analyzing the evolution of an infinitesimal perturbation,
, from a fixed point, such that
. Substituting this into the equations for the system and retaining only first-order terms in
yield a set of linear differential equations describing the dynamics of the perturbation. The stability of the fixed point is then determined by the eigenvalues of the corresponding Jacobian matrix.
To illustrate this methodology, we apply it to the system presented in
Section 2.4 whose dynamics are given by Equation (
4). The linearization around a fixed point
results in a system for the perturbation
. By the definition of a fixed point, the static terms vanish, yielding the following linear system:
The eigenvalues of the Jacobian matrix are readily found to be , , and .
Since , the real parts of the complex conjugate eigenvalues are negative. This implies that the dynamics are asymptotically stable in the -plane. Any perturbation in this plane decays, returning the system to the fixed point. Conversely, the null eigenvalue, , indicates neutral stability along the direction. This signifies the existence of a continuum of equilibrium points. Collectively, these results demonstrate that the system possesses a line of fixed points, where each point on this line is an attractor for the dynamics within its respective -plane (i.e., for a constant ). Since the system under consideration is linear, this stability analysis is exact and provides a complete characterization of the equilibrium structure.
It is known [
19] that the existence of multiple steady states is fundamentally linked to the presence of symmetries or a decomposable structure in the dynamics of the system. A system is considered decomposable if its Hilbert space can be broken down into two or more orthogonal subspaces that are invariant under the evolution. If such subspaces exist, the system cannot have a single globally attractive fixed point.
The study of fixed points and steady states is related to reservoir engineering [
20]. By attentively designing a qubit’s Hamiltonian and its dissipative interactions with an environment, one can control the final steady state that the system evolves toward. This is a powerful tool for both state preparation, where a qubit is forced into a desired pure or mixed state, and for stabilization. In the latter case, the dissipative process actively protects a specific quantum state from noise by providing a form of continuous error correction, always pulling the state back toward the stable fixed point. Then, if the dynamics allows for multiple stable fixed points, this collection of states can be used as a robust memory. Each distinct fixed point can encode a piece of information, and the stability of these points makes the memory fault-tolerant or self-correcting, as the system’s natural evolution resists perturbations that may alter the stored information.
5. Conclusions
In this paper, we have examined two complementary approaches to the GKSL equation for an open qubit. The first approach, essentially being the standard method, exploits the linear structure of the equation and enables the systematic construction of explicit solutions; we illustrated this approach by analyzing representative trajectories within the Bloch ball.
The second approach leverages the underlying SU symmetry of the Bloch ball and recasts the problem as a nonlinear dynamical system, thereby provides a geometrically motivated alternative description of the same open-system dynamics.
Although more intricate, this second formulation highlights in a natural way the distinction between the angular dynamics of the system and the radial component associated with dissipation. The main appeal of this second perspective lies in its potential for generalization to the GKSL equation for open qudits, i.e., higher-dimensional generalizations of qubits.
Along these lines, the SU(2)–symmetry approach allows a natural generalization by invoking the coset symmetry together with a corresponding generalized angular-coordinate parametrization. This extension is justified, since for an arbitrary N-level system (qudit), the Lie algebra possesses independent Casimir invariants, which may be associated with a set of “radial” variables. As a consequence, one can partially decouple the dynamics of the GKSL equation: the evolution separates into contributions controlling the state’s purity, the decay rates along the different Casimir directions, and the nonlinear dynamics governing the orientation of the generalized Bloch vector on the coset manifold. This provides a geometric framework in which dissipation and rotation are quite well distinguished on the level of the dynamical system.
On the other hand, the linear analysis provided direct physical understanding, as illustrated by the case where dissipation affects only the -plane components, revealing a line of stable fixed points along the z-axis that acts as an attractor for the quantum states. These lines (the three axes) of stable fixed points may be employed to protect quantum information by engineering the right qubit–environment interactions.
Author Contributions
Conceptualization, A.C.M., E.M.F.C., J.-P.G. and T.K.; methodology, A.C.M., E.M.F.C., J.-P.G. and T.K.; software, A.C.M., E.M.F.C., J.-P.G. and T.K.; validation, A.C.M., E.M.F.C., J.-P.G. and T.K.; formal analysis, A.C.M., E.M.F.C., J.-P.G. and T.K.; investigation, A.C.M., E.M.F.C., J.-P.G. and T.K.; resources, A.C.M., E.M.F.C., J.-P.G. and T.K.; data curation, A.C.M., E.M.F.C., J.-P.G. and T.K.; writing—original draft preparation, A.C.M., E.M.F.C., J.-P.G. and T.K.; writing—review and editing, A.C.M., E.M.F.C., J.-P.G. and T.K.; visualization, A.C.M., E.M.F.C., J.-P.G. and T.K.; supervision, A.C.M., E.M.F.C., J.-P.G. and T.K.; project administration, A.C.M., E.M.F.C., J.-P.G. and T.K.; funding acquisition, A.C.M., E.M.F.C., J.-P.G. and T.K. All authors have read and agreed to the published version of the manuscript.
Funding
We thank for the financial support the Brazilian scientific agencies Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq). T.K. acknowledges the financial support by CNPq (No. 305654/2021-7; 304504/2024-6). A part of this work has been done under the project INCT-Nuclear Physics and Applications (No. 464898/2014-5).
Data Availability Statement
No new data were created or analyzed in this study.
Acknowledgments
During the preparation of this manuscript, the authors used ChatGPT (OpenAI, GPT-4–class models, accessed during 2024–2025) and Gemini (Google DeepMind, Gemini 1.x models, accessed during 2024–2025) for the purpose of language editing and writing assistance. The authors have reviewed and edited all AI-generated content and take full responsibility for the content of this publication. E.M.F.C. acknowledges the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and the Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ), Brazil.
Conflicts of Interest
The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.
Appendix A. Behavior for Long Times
For the sake of clarity, we keep the expression
here instead of using
. Following the example related to Equation (
22), we can substitute the hyperbolic trigonometric functions by their exponential counterparts
so that then, there are two exponentials with arguments
and
, where the former argument describes faster decay than the latter argument. So, for a long enough time
and the system asymptotically behaves as
Then,
can be defined and, after some manipulations, Equation (
A4) transforms to Equation (
24). Thus, factoring out the exponentials, the norm is
Therefore, for times as long as
,
Appendix B. One Qbit Dynamic System
The GKSL Equation (
1) with density operators
where the jump operators like the Pauli matrices substituted
become straightforwardly solvable by writing the density matrix with Einstein’s notation:.
and analogously, the Hamiltonian becomes
with
and 3. Then, the commutator of Equation (
A8) is written as
with
the Levi-Civita symbol, while the derivative
Before determining directly the sum in Equation (
A8), it is worthy to state that any matrix of order two can be written in terms of the identity and the Pauli matrices, for example, matrix
M
where the coefficients
,
are obtained via
Thus, the coefficients of the left-hand side of Equation (
A8) are extracted from Equation (
A14):
and the
n-th coefficient of the commutator in Equation (A13):
Now, the coefficients related to the sum of Equation (
A8) are determined by
and, with the help of the identity
, Equation (
A20), where
is the Kronecker delta, reads
Therefore, the GKSL equation based on Equations (
A18), (
A19), and (
A21) reads
which represents the set in Equation (
4).
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