1. Introduction
Closed quantum systems are described by the Schrödinger equation. If we take a pure initial state, it will always stay pure during the evolution of the system undergoing the unitary symmetry transformation. This equation can be put in another form, using a density matrix—it is a Liouville equation.
When we proceed to open quantum systems, we find that environmental influences may transform an initial pure-state density matrix into the mixed-state density matrix [
1,
2,
3]. Then, the Schrödinger equation can no longer describe this transition; a density matrix is evolving under transformations belonging to a dynamical semigroup and the standard equation for this case is the Franke–Gorini–Kossakowski–Lindblad–Sudarshan (FGKLS) equation [
4,
5,
6]:
Here,
is a density matrix of the system,
H is a Hamiltonian of that system,
are a set of operators that incorporate an interaction of a system with an environment. The latter Lindbladians generate deviations from purely unitary evolution and the entire evolution operators belong to a set of a dynamical semigroup. This approach has quite a few applications in the analysis of decoherence in nonrelativistic quantum systems [
1,
2,
3]. We notice also that recently the FGKLS approach has been found to be fruitful in high-energy physics [
7,
8,
9], condensed matter [
10,
11,
12] and quantum biology [
13,
14].
This equation indeed describes well open quantum systems. We can see this if we take the system of interest and an environment as a large closed system that is described by the Liouville equation. Then, provided that the current understanding of the quantum theory remains to be valid on the fundamental level, the FGKLS equation should arise as an effective description of a subsystem of the larger system that includes environmental degrees of freedom that is assumed to undergo the unitary evolution driven by a self-adjoint Hamiltonian.
It will be of the FGKLS form if one ensures the positivity and completeness (its trace equal to 1) of the density matrix, as well as its complete positivity [
15], which delivers exactly this form of the equation. It is linear and supports the superposition of quantum states. Thus, it may substitute the Schrodinger dynamics of wave functions by the extended fundamental dynamics of density matrices [
16]. The Lindblad operators
may be associated with elements of measuring apparatus [
16] or with an external noise [
17]. This kind of quantum dynamics may be referred to as a non-Hamiltonian one [
18].
As the system interacts with an environment, the process of
decoherence takes over. During this process, pure quantum states transform into the mixed ones, the information about the initial state partially becomes lost, and the system becomes more classical. As expected, the system may reach a certain final state, which is the same for all initial states. Such final states are called
pointers [
19]. The fact that they are robust and do not change over time is expressed by the following simple equation:
The goal of this work is to study in detail the decoherence process for the systems of a small dimension of the Hilbert space equal to 2. We exhaustively consider all possible forms of a Lindblad operator: diagonal and Jordan block type. In the second section, we find pointers for these two cases. In the third section, we obtain a general solution to the FGKLS equation and confirm that it indeed converges to a pointer with time. In the fourth section, we check that the obtained solution has physical meaning, i.e., the density matrix is Hermitian, positive and has trace equal to 1. In the fifth section, we explore how the solution behaves for weak interaction with an environment. In the sixth section, we make conclusions about the existence of oscillation solutions, resembling the solutions of a closed system. In the seventh section, we summarize and make final remarks. This work is partially based on our previous study in [
20].
2. Pointers for the FGKLS Equation in Two Dimensions
Let us consider the FGKLS equation for the systems in two-dimensional Hilbert space: both the Hamiltonian
H and the Lindblad operator (For simplicity, the case of one Lindblad operator
L will be considered. Generalization to the systems with many operators
is straightforward.)
L describing interaction with the environment are
operators. We build the Hilbert space spanned on a two-level energy orthonormal basis of
: an arbitrary orthonormal basis in this space is
with unitary matrix
U coefficients. The Hamiltonian, generated by a Hermitian matrix of the size
, takes the form
On the same basis, the Lindblad operator is defined as:
with arbitrary complex coefficients
and real coefficient
c, which will be useful further on to control the behavior of solutions for small
The density matrix
has to satisfy the well-known FGKLS equation
and to obey the following properties:
is Hermitian:
, i.e.,
is non-negative.
Further on, the first two properties will be taken into account directly in the equations, while the last one will be checked for the obtained solutions of (
1) postfactum. By default, the basis elements
as well as coefficients
and
are assumed to be time-independent.
Substituting the expressions (
3)–(
5) into the FGKLS equation (
1) and taking into account the first two properties of
above, we obtain:
where
where
.
By definition, the pointers of the FGKLS equation are solutions
of (
1), which become stable asymptotically for large
, i.e.,
Thus, we have the system of three linear equations for independent variables
or, in a matrix form:
where
J and
H are given by (
17) and (
16), and
are defined as
. The existence of pointers depends on the determinant of the matrix in (
22). After choosing an appropriate basis, a Lindblad operator
L can be reduced to one of two possible forms:
2.1. Diagonal Lindblad Operator
For the diagonal operators
L,
with complex values
Equation (
22) for the pointers becomes:
where
and
. The determinant of the matrix in (
24) is
and several cases have to be considered:
Determinant of the matrix in (
24) does not vanish:
and the solution is:
This pointer does not depend on the parameters in being a maximally mixed state.
Determinant vanishes due to Two options in this case exist:
If, additionally,
b vanishes, i.e.,
the pointer is an arbitrary matrix with unit trace:
If, additionally,
b does not vanish, i.e.,
the pointer is an arbitrary diagonal matrix with unit trace:
Determinant vanishes due to
Then, the pointer is expressed via one arbitrary real parameter
2.2. Lindblad Operator of a Jordan Block Form
Let us consider the operator
L of the Jordan block form:
with complex
and real parameter
which will allow us to make operator
L small if necessary.
A remark on the form (
29) is appropriate here. The FGKLS equation with such
can be transformed as follows:
This means the invariance of our model under simultaneous replacements:
Thus, instead of the Jordan block (
29) form of the Lindblad operator, the nilpotent operators
might be used up to a shift in the Hamiltonian onto a fixed Hermitian matrix. These two models are equivalent, and below, the form (
29) will be used.
A possible simulation of environmental effects to obtain a Lindblad operator of a Jordan block form is presented in the example in
Appendix C.
Now, we come back to solving the FGKLS equation for a general case of a Lindlad operator of a Jordan block form.
Matrix equation (
22) is simplified as:
where
and
,
.
The expression for the determinant of the matrix in (
33) is obviously negative:
and the solution of Equation (
33)
exists:
This solution is physically reasonable, since
, and positivity of
is provided by inequality
.
For the special case of degenerate
then
,
, the pointer is
It does not depend on parameter
c. This is because, for such
H, the first term in the Lindblad equation (
1) with pointer condition (
2) disappears, and the parameter
c, after substituting
L (
29), falls away.
In
Appendix A, one can find the expression for a pointer for weak interaction with the environment.
3. The General Solution of the FGKLS Equation in Two-Dimensional Hilbert Space
3.1. The Case of Diagonal Lindblad Operator
To find the general solution of the FGKLS equation (
1) with the Lindblad operator of diagonal form (
23), one has to solve the system of three linear equations:
The trace condition (
8) will give the solution for the variable
as well. The solution of this system of differential equations is the sum of a partial solution of the non-homogeneous system and the general solution of the homogeneous system.
Since only the pointer (
34) can obviously play a role of partial solution to this system, the problem left is to find the general solution of the homogeneous system of equations, which in the matrix form is:
We will look for solutions in the form
where
is a constant vector:
,
is a c-number.
Thus, the general solution of the non-homogeneous system of equations can be written as (Concerning some exclusions, see an important remark at the end of this subsection.)
where
are arbitrary complex constants.
Substituting (
41) into (
40), one gets
Thus, we need the eigenvalues and eigenvectors of the matrix
A (defined in (
40)). Equation (
44) can be represented in the following form:
where we have made a new notation:
.
The characteristic polynomial of the matrix in Equation (
45) is
Next, we have to consider two cases: when the last term vanishes and when it does not. These two cases give completely different dynamics of a system.
or :
Solving Equation (
46), we obtain
We see that, when
, according to (
42), last two exponents decrease, while the first one reduces to a constant, which merges with a pointer. Therefore, we conclude that, during the evolution, such a system approaches a constant that is not constrained by interaction with an environment, parameters in Hamiltonian, etc.
When , the real part of vanishes, and we have neverending oscillations of a solution.
:
Below, we will prove that, for this case
for each root
s of this equation, i.e, according to (
42),
converges to the pointer
for
. In general, two options are possible for this case.
- (a)
All three roots of (
46),
, are real
The form of l.h.s. of (
46) is such that it is strictly positive for
, and therefore,
have to be negative.
- (b)
Equation (
46) has two complex roots,
, and one real root
tTo start with, we write Vieta’s formulas for Equation (
46):
, since
cannot be the root of (
46). Therefore, from the last equation, it is obvious that
.
We are left to prove that
. Expressing
and
t from the system of Equations (
49)–(
51), we get the equation for
:
As before, we notice that cannot be a solution of this equation; therefore, .
The fact that
is very important. It signifies the vanishing of the exponents in the general solution of the Lindblad equation (
42) over time (according to the definition,
,
,
), which, finally, gives that the density matrix for any values of the parameters in
(of the form (
29)) converges to the pointer (
34).
The other forms of the solution, not of the type (
42), one can find in
Appendix B, where we analyze the coinciding roots of the Equation (
46).
3.2. The Case of the Lindblad Operator of the Jordan Block Form
For the case of the Lindblad operator in the Jordan form (
29), the FGKLS equation (
1) also can be rewritten in a matrix form:
and
can be found from the trace condition. Equation (
44) can be represented in the following form:
where
s is defined as follows:
.
The characteristic polynomial of the matrix in Equation (
54) is
Next, we have to prove that
for each root
s of this equation. It means, according to (
42), that
converges to the pointer
for
.
Two options exist for the cubic equation (
55):
The fact that
is very important. It signifies the vanishing of the exponents in the general solution of the FGKLS equation (
42) over time (according to the definition,
,
,
), which, finally, gives that the density matrix for any values of the parameters in
(of the form (
29)) converges to the pointer (
34).
For the Linblad operator of the Jordan block form, we have also found the other forms of the solution, not of the type (
42), corresponding to coinciding roots of (
55). One can find the complete analysis in
Appendix B.
4. Positivity of the Solution of FGKLS Equation
Next, we have to make sure that the remaining property of the density matrix
is satisfied—namely, that it is positive. Otherwise, it does not have physical meaning. For this purpose, we shall take explicitly into account in (
42) that the condition
(
8) has to be satisfied for any moment of time including asymptotical
Therefore, the solution (
42) can be rewritten in a matrix form (we consider only the case of non-coinciding roots
):
After this, we shall parameterize it conveniently, representing all the complex numbers in the polar form:
and then constrain the expression by the hermiticity condition (
7). We obtain the following parametrization:
For the case of two complex roots and one real root (
):
where
,
.
Since
is an eigenvector of the matrix
A from (
40),
are completely determined by the particular form of the Hamiltonian
H and Lindblad operator
L, i.e., by the values of parameters
. Therefore,
are also completely determined by
H and
L. As for
,“±” sign}, these are free parameters. They depend on the choice of the initial state
.
For the case of three real roots (
):
where
are determined by
H and
L, while
signs,
depend on the choice of the initial state
.
Interestingly, the initial state has just exactly three real parameters:
,
The correspondence between and or signs, is a problem to be solved. The choice of signs ”±” could signify several different paths that the system may choose to take.
In order to check the positivity of (
62) and (
63), we need to take the determinant of this matrix
and find the conditions (i.e., the moments of time
t), when the determinant
is non-negative. The resulting inequalities are not solvable explicitly in a general form. Therefore, we will restrict ourselves by the particular case when there is only the last exponent in (
62) and (
63) with a real value
We will denote
as
x, and the positivity of the density matrix means:
or,
where
, are the roots of the quadratic polynomial above.
One of Vieta’s formulas gives
The latter inequality follows from the positivity of the pointers in
Section 3. It means that
.
There are three options to fulfill the inequality (
66):
It is a trivial case.
is just a pointer in any moment of time
t. It is positive, as we checked earlier, and the inequality (
66) is obviously correct.
“+” sign,
The inequalities (
66) are reduced to:
Thus, the solution
(
64) of the FGKLS equation has physical sense only for
“−” sign,
In a similar way, we obtain:
and possible time is:
For only these time intervals provide a reasonable solution of the FGKLS equation.
5. The Behavior of Solutions for Weak Interaction with Environment
In this section, we examine the behavior of the solution (
60) when interaction with an environment disappears, i.e., for
We start from the Lindblad operator
L of diagonal form (
23) solving Equations (
45) and (
46) by means of perturbation theory with parameter
. For simplicity, we take the case of diagonal Hamiltonian
. Since, in all the equations, we have integer powers of
, we decompose the parameters
of the general solution (
42) in a series:
In the leading order, Equation (
55) reads:
with three solutions:
and
. Considering next-to-leading order of Equation (
46), we obtain for
which gives three options:
Then, the general solution of (
42) with diagonal
L for small
looks like:
where
are time-independent matrices. One can check explicitly that the real parts in both exponents of this expression are negative.
For the case of the Lindblad operator with Jordan block structure (
29) and diagonal Hamiltonian
H for small values of
the behavior of the solution (
60) can be obtained in a similar way:
In the leading order, Equation (
55) reads:
providing again three solutions:
and
Next, we find
considering next-to-leading order of Equation (
55):
which gives:
Finally, solving the eigenvector Equation (
54) in the leading and next-to-leading order, we get for the density matrix:
where
are arbitrary complex numbers.
Applying the hermiticity condition (
7), we further constrain the solution:
where
,
.
We see that if the Lindblad operator
has the form (
29), it must be that
when
, i.e., this system has a pointer (the late-time state of the system) of a very specific form. This is the effect of decoherence—the loss of information in the process of evolution of an open system, when the final state loses information about the initial state.
However, if the Lindblad operator , or , then we obtain the ordinary solution of the Liouville equation with oscillating exponents. It contains arbitrary parameters, which can be fixed by initial conditions. In other words, it does not approach the Lindblad pointer in the late time limit. Evolution of the system fully depends on the initial state, and information about the initial state is contained in the final state.
We have seen the same situation in our previous work [
20], when (no matter how small)
produced a very specific form of the pointer. However, at the same time,
suggested that the pointer is a matrix with arbitrary elements (if the Hamiltonian is non-degenerate, then it is a diagonal matrix with arbitrary elements; if the Hamiltonian is degenerate, then it is a matrix with arbitrary diagonal elements and elements, corresponding to degenerate indices).
6. Unitons
In this section, a special kind of open system—unitons—will be considered, such that, despite an openness, their density matrix evolution is unitary. In other words, the density matrix
of the system interacting with the environment still obeys the FGKLS equation with a single Lindblad operator
L, but simultaneously its Lindbladian part vanishes:
Keeping decompositions of
H and
L as in (
3) and (
4), the uniton’s density matrix is now:
The first relation (
81) is written on this basis as follows:
It can be transformed into an explicit form of a matrix with four indexes multiplied by a vector with two indexes:
where
Thus, the existence of unitons depends crucially on the determinant of this matrix.
If the determinant does not vanish, the only solution is , and no unitons exist in this case.
If the determinant vanishes, three options appear:
- -
The solution has one free parameter.
This parameter is eliminated by the trace condition
. We have a constant density matrix that has to satisfy (
82). Thus, unitons exist only if they commute with Hamiltonian:
. As a result, the only uniton does not depend on time:
. Actually, it can be considered as a pointer.
- -
The solution has two parameters.
One of the parameters is eliminated by the trace condition
, and the dependence of the other on time is found from Equation (
82). We have a solution with no free parameters, depending on time in some way.
- -
The solution has three or more parameters.
The same, as in the previous case, but the solution, besides depending on time in some way, also contains one or more parameters. Their dependence on time can be chosen in any manner.
We are not able to calculate the determinant for an arbitrary dimension of operators, and we shall consider again a simpler task of dimension two. Note that, for this problem, we do not need perturbation theory. Equation (
81) loses its part related to the Hamiltonian, and all the terms there turn out to be of the same order.
Solving Equation (
81) in two-dimensional Hilbert space is actually the same as finding pointers in two dimensions for a vanishing Hamiltonian. This means that we should look at our previous results of
Section 2 and take
. The matrix equation that we arrive at is Equation (
22) with
given by Formulas (
17) and (
16) with
.
As before, we consider two types of Lindblad operator:
Diagonal Lindblad operator (
23)
The uniton for this case is easily found from the previous results for the pointer (
26) and (
27):
- (a)
If this condition for
L is satisfied, then every density matrix turns out to be a uniton, obeying Equation (
82).
- (b)
Solving (
82) for the diagonal density matrix, we see that the density matrix reduces to a constant matrix. It is not possible to make non-trivial time dependence with Equation (
82). Unitons do not exist for this case.
Lindblad operator of the Jordan block form (
29)
The uniton is found from the previous result for the pointer (
34):
Since this solution of Equation (
81) does not contain any free parameters, we cannot construct a uniton that non-trivially evolves in time according to (
82). Unitons do not exist for this case.
We conclude that the only case when unitons exist is when the Lindblad operator is proportional to the identity matrix. It just falls off from the FGKLS equation. It is a trivial case that can be reduced to the Liouville equation, for which there is no interaction with an environment. Therefore, the FGKLS equation does not have oscillating Liouville solutions for the Hilbert space of dimension 2.
7. Conclusions
Throughout the paper, we have exhaustively studied the evolution of an open quantum system for a Hilbert space of dimension 2. We obtained final fixed states of an evolution of an open system (called pointers), and then we found a solution to the FGKLS equation and proved that it always converges to a pointer. It signifies a decoherence process, when information about an initial state becomes lost during an evolution as a result of an interaction with an environment. After this, we checked that the solution has a physical meaning, i.e., the density matrix is Hermitian, positive and has trace equal to 1, and found a moment of time starting from which the density matrix is positive, i.e., a Lindblad equation can be used. Next, we studied a behavior of the solution when an interaction with an environment is weak. When the interaction is on, the general solution of the FGKLS equation has a special type, leading over time to a pointer. When it is off, the solution is a standard oscillating one, provided by the Liouville equation. Finally, we found that the FGKLS equation does not have oscillating solutions, of the same form as the solutions of Liouville equation, for the Hilbert space of dimension 2.